Fix self-containedness of performance model files with multiple regression models

(cherry picked from commit 10a269f8ef504529b7f4227a6a4db988025e1730)

ChangeLog

@@ -32,6 +32,7 @@ New features:
   * New scheduler 'heteroprio' with heterogeneous priorities
   * Support priorities for data transfers.
   * Add support for multiple linear regression performance models
+    - Bump performance model file format version to 45.
   * Add MPI Master-Slave support to use the cores of remote nodes. Use the
     --enable-mpi-master-slave option to activate it.
   * Add STARPU_CUDA_THREAD_PER_DEV environment variable to support driving all

src/core/perfmodel/perfmodel.h

@@ -1,7 +1,7 @@
 /* StarPU --- Runtime system for heterogeneous multicore architectures.
  *
  * Copyright (C) 2011-2014,2016,2017                      Inria
- * Copyright (C) 2008-2018                                Université de Bordeaux
+ * Copyright (C) 2008-2019                                Université de Bordeaux
  * Copyright (C) 2010-2015,2017                           CNRS
  * Copyright (C) 2013                                     Thibaut Lambert
  * Copyright (C) 2011                                     Télécom-SudParis
@@ -40,7 +40,7 @@ extern "C"
  * differents versions of StarPU having different performance model
  * formats.
  */
-#define _STARPU_PERFMODEL_VERSION 44
+#define _STARPU_PERFMODEL_VERSION 45
 
 struct _starpu_perfmodel_state
 {

src/core/perfmodel/perfmodel_history.c

@@ -1,7 +1,7 @@
 /* StarPU --- Runtime system for heterogeneous multicore architectures.
  *
  * Copyright (C) 2011-2014,2016,2017                      Inria
- * Copyright (C) 2008-2018                                Université de Bordeaux
+ * Copyright (C) 2008-2019                                Université de Bordeaux
  * Copyright (C) 2010-2017, 2019                          CNRS
  * Copyright (C) 2013                                     Thibaut Lambert
  * Copyright (C) 2011                                     Télécom-SudParis
@@ -359,7 +359,12 @@ static void dump_reg_model(FILE *f, struct starpu_perfmodel *model, int comb, in
 	 * Multiple Regression Model
 	 */
 
-	if (model->type == STARPU_MULTIPLE_REGRESSION_BASED)
+	if (model->type != STARPU_MULTIPLE_REGRESSION_BASED)
+	{
+		fprintf(f, "# not multiple-regression-base\n");
+		fprintf(f, "0\n");
+	}
+	else
 	{
 		if (reg_model->ncoeff==0 && model->ncombinations!=0 && model->combinations!=NULL)
 		{
@@ -455,17 +460,17 @@ static void scan_reg_model(FILE *f, const char *path, struct starpu_perfmodel_re
 	unsigned nl_invalid = (isnan(reg_model->a)||isnan(reg_model->b)||isnan(reg_model->c));
 	reg_model->nl_valid = !nl_invalid && VALID_REGRESSION(reg_model);
 
+	_starpu_drop_comments(f);
+
+	// Read how many coefficients is there
+	res = fscanf(f, "%u", &reg_model->ncoeff);
+	STARPU_ASSERT_MSG(res == 1, "Incorrect performance model file %s", path);
+
 	/*
 	 * Multiple Regression Model
 	 */
 	if (model_type == STARPU_MULTIPLE_REGRESSION_BASED)
 	{
-		_starpu_drop_comments(f);
-
-		// Read how many coefficients is there
-		res = fscanf(f, "%u", &reg_model->ncoeff);
-		STARPU_ASSERT_MSG(res == 1, "Incorrect performance model file %s", path);
-
 		_STARPU_MALLOC(reg_model->coeff, reg_model->ncoeff*sizeof(double));
 
 		unsigned multi_invalid = 0;
@@ -480,6 +485,10 @@ static void scan_reg_model(FILE *f, const char *path, struct starpu_perfmodel_re
 		res = fscanf(f, "\n");
 		STARPU_ASSERT_MSG(res == 0, "Incorrect performance model file %s", path);
 	}
+	else
+	{
+		STARPU_ASSERT_MSG(reg_model->ncoeff == 0, "Incorrect performance model file %s", path);
+	}
 }
 
 

tools/Makefile.am

@@ -42,7 +42,7 @@ dist_bin_SCRIPTS =
 dist_pkgdata_DATA = gdbinit
 
 pkgdata_perfmodels_sampling_busdir = $(datarootdir)/starpu/perfmodels/sampling/bus
-pkgdata_perfmodels_sampling_codeletsdir = $(datarootdir)/starpu/perfmodels/sampling/codelets/44
+pkgdata_perfmodels_sampling_codeletsdir = $(datarootdir)/starpu/perfmodels/sampling/codelets/45
 
 dist_pkgdata_perfmodels_sampling_bus_DATA = \
 	perfmodels/sampling/bus/attila.affinity	\
@@ -71,73 +71,73 @@ dist_pkgdata_perfmodels_sampling_bus_DATA = \
 	perfmodels/sampling/bus/sirocco.platform.v4.xml
 
 dist_pkgdata_perfmodels_sampling_codelets_DATA = \
-	perfmodels/sampling/codelets/44/chol_model_11.attila	\
-	perfmodels/sampling/codelets/44/chol_model_21.attila	\
-	perfmodels/sampling/codelets/44/chol_model_22.attila	\
-	perfmodels/sampling/codelets/44/cl_update.attila	\
-	perfmodels/sampling/codelets/44/save_cl_bottom.attila	\
-	perfmodels/sampling/codelets/44/save_cl_top.attila	\
-	perfmodels/sampling/codelets/44/starpu_sgemm_gemm.attila	\
-	perfmodels/sampling/codelets/44/starpu_dgemm_gemm.attila	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.attila	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.attila	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.attila	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.attila	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.attila	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.attila	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.attila	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.attila	\
-	perfmodels/sampling/codelets/44/overlap_sleep_1024_24.attila	\
-	perfmodels/sampling/codelets/44/chol_model_11.idgraf	\
-	perfmodels/sampling/codelets/44/chol_model_21.idgraf	\
-	perfmodels/sampling/codelets/44/chol_model_22.idgraf	\
-	perfmodels/sampling/codelets/44/cl_update.idgraf	\
-	perfmodels/sampling/codelets/44/save_cl_bottom.idgraf	\
-	perfmodels/sampling/codelets/44/save_cl_top.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_sgemm_gemm.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_dgemm_gemm.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.idgraf	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.idgraf	\
-	perfmodels/sampling/codelets/44/chol_model_11.mirage	\
-	perfmodels/sampling/codelets/44/chol_model_21.mirage	\
-	perfmodels/sampling/codelets/44/chol_model_22.mirage	\
-	perfmodels/sampling/codelets/44/cl_update.mirage	\
-	perfmodels/sampling/codelets/44/save_cl_bottom.mirage	\
-	perfmodels/sampling/codelets/44/save_cl_top.mirage	\
-	perfmodels/sampling/codelets/44/starpu_sgemm_gemm.mirage	\
-	perfmodels/sampling/codelets/44/starpu_dgemm_gemm.mirage	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.mirage	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.mirage	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.mirage	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.mirage	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.mirage	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.mirage	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.mirage	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.mirage	\
-	perfmodels/sampling/codelets/44/overlap_sleep_1024_24.mirage	\
-	perfmodels/sampling/codelets/44/chol_model_11.sirocco	\
-	perfmodels/sampling/codelets/44/chol_model_21.sirocco	\
-	perfmodels/sampling/codelets/44/chol_model_22.sirocco	\
-	perfmodels/sampling/codelets/44/cl_update.sirocco	\
-	perfmodels/sampling/codelets/44/save_cl_bottom.sirocco	\
-	perfmodels/sampling/codelets/44/save_cl_top.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_sgemm_gemm.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_dgemm_gemm.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.sirocco	\
-	perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.sirocco	\
-	perfmodels/sampling/codelets/44/overlap_sleep_1024_24.sirocco
+	perfmodels/sampling/codelets/45/chol_model_11.attila	\
+	perfmodels/sampling/codelets/45/chol_model_21.attila	\
+	perfmodels/sampling/codelets/45/chol_model_22.attila	\
+	perfmodels/sampling/codelets/45/cl_update.attila	\
+	perfmodels/sampling/codelets/45/save_cl_bottom.attila	\
+	perfmodels/sampling/codelets/45/save_cl_top.attila	\
+	perfmodels/sampling/codelets/45/starpu_sgemm_gemm.attila	\
+	perfmodels/sampling/codelets/45/starpu_dgemm_gemm.attila	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_11.attila	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_12.attila	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_21.attila	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_22.attila	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_11.attila	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_12.attila	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_21.attila	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_22.attila	\
+	perfmodels/sampling/codelets/45/overlap_sleep_1024_24.attila	\
+	perfmodels/sampling/codelets/45/chol_model_11.idgraf	\
+	perfmodels/sampling/codelets/45/chol_model_21.idgraf	\
+	perfmodels/sampling/codelets/45/chol_model_22.idgraf	\
+	perfmodels/sampling/codelets/45/cl_update.idgraf	\
+	perfmodels/sampling/codelets/45/save_cl_bottom.idgraf	\
+	perfmodels/sampling/codelets/45/save_cl_top.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_sgemm_gemm.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_dgemm_gemm.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_11.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_12.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_21.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_22.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_11.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_12.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_21.idgraf	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_22.idgraf	\
+	perfmodels/sampling/codelets/45/chol_model_11.mirage	\
+	perfmodels/sampling/codelets/45/chol_model_21.mirage	\
+	perfmodels/sampling/codelets/45/chol_model_22.mirage	\
+	perfmodels/sampling/codelets/45/cl_update.mirage	\
+	perfmodels/sampling/codelets/45/save_cl_bottom.mirage	\
+	perfmodels/sampling/codelets/45/save_cl_top.mirage	\
+	perfmodels/sampling/codelets/45/starpu_sgemm_gemm.mirage	\
+	perfmodels/sampling/codelets/45/starpu_dgemm_gemm.mirage	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_11.mirage	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_12.mirage	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_21.mirage	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_22.mirage	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_11.mirage	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_12.mirage	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_21.mirage	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_22.mirage	\
+	perfmodels/sampling/codelets/45/overlap_sleep_1024_24.mirage	\
+	perfmodels/sampling/codelets/45/chol_model_11.sirocco	\
+	perfmodels/sampling/codelets/45/chol_model_21.sirocco	\
+	perfmodels/sampling/codelets/45/chol_model_22.sirocco	\
+	perfmodels/sampling/codelets/45/cl_update.sirocco	\
+	perfmodels/sampling/codelets/45/save_cl_bottom.sirocco	\
+	perfmodels/sampling/codelets/45/save_cl_top.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_sgemm_gemm.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_dgemm_gemm.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_11.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_12.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_21.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_slu_lu_model_22.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_11.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_12.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_21.sirocco	\
+	perfmodels/sampling/codelets/45/starpu_dlu_lu_model_22.sirocco	\
+	perfmodels/sampling/codelets/45/overlap_sleep_1024_24.sirocco
 
 EXTRA_DIST =				\
 	dev/checker/rename.sed		\

tools/perfmodels/sampling/codelets/44/chol_model_11.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	7.593370e+04   	4.030251e+03   	2.353945e+06   	1.792473e+11   	31
 afdd228b	1638400        	8.758624e+07   	2.346245e+04   	1.988237e+03   	1.032348e+06   	2.439534e+10   	44
@@ -65,6 +67,8 @@ cea37d6d	409600         	1.097392e+07   	3.401100e+03   	3.819888e+02   	1.56450
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	4.425357e+04   	2.763302e+03   	7.523107e+05   	3.342224e+10   	17
 afdd228b	1638400        	8.758624e+07   	2.425311e+04   	2.094515e+03   	2.910373e+05   	7.111204e+09   	12
@@ -97,6 +101,8 @@ cea37d6d	409600         	1.097392e+07   	1.130795e+04   	5.745206e+02   	1.13079
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	4.555777e+04   	5.907293e+03   	7.744821e+05   	3.587692e+10   	17
 afdd228b	1638400        	8.758624e+07   	2.509024e+04   	3.469720e+03   	2.509024e+05   	6.415590e+09   	10
@@ -129,6 +135,8 @@ cea37d6d	409600         	1.097392e+07   	1.082278e+04   	2.477308e+02   	1.08227
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	4.828333e+04   	3.379151e+03   	5.311166e+05   	2.576968e+10   	11
 afdd228b	1638400        	8.758624e+07   	2.737149e+04   	3.217773e+03   	2.737149e+05   	7.595526e+09   	10

tools/perfmodels/sampling/codelets/44/chol_model_11.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	2.069576e+04   	7.440388e+01   	4.346110e+05   	8.994720e+09   	21
 cea37d6d	409600         	1.097392e+07   	1.068290e+03   	2.074934e+01   	3.098041e+04   	3.310855e+07   	29
@@ -65,6 +67,8 @@ afdd228b	1638400        	8.758624e+07   	6.632886e+03   	6.634864e+01   	1.39290
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.998499e+04   	6.600211e+03   	5.998499e+05   	3.641761e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.500406e+04   	5.740284e+02   	1.500406e+05   	2.254514e+09   	10
@@ -97,6 +101,8 @@ afdd228b	1638400        	8.758624e+07   	3.368249e+04   	5.947857e+03   	3.36824
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.745646e+04   	7.363450e+03   	5.745646e+05   	3.355466e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.559370e+04   	1.137871e+03   	1.559370e+05   	2.444583e+09   	10
@@ -129,6 +135,8 @@ afdd228b	1638400        	8.758624e+07   	3.216379e+04   	4.954206e+03   	3.21637
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.761859e+04   	8.603827e+03   	5.761859e+05   	3.393928e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.498399e+04   	7.885417e+02   	1.498399e+05   	2.251416e+09   	10
@@ -161,6 +169,8 @@ afdd228b	1638400        	8.758624e+07   	3.033086e+04   	2.968298e+03   	3.03308
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.207197e+04   	2.780602e+03   	5.207197e+05   	2.719222e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.609271e+04   	2.681035e+03   	1.609271e+05   	2.661633e+09   	10
@@ -193,6 +203,8 @@ afdd228b	1638400        	8.758624e+07   	3.107603e+04   	1.620445e+03   	3.10760
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.062446e+04   	2.429137e+03   	5.062446e+05   	2.568736e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.506158e+04   	8.561331e+02   	1.506158e+05   	2.275840e+09   	10
@@ -225,6 +237,8 @@ afdd228b	1638400        	8.758624e+07   	3.034398e+04   	4.027845e+03   	3.03439
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.174953e+04   	6.183695e+03   	5.174953e+05   	2.716252e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.518996e+04   	9.403764e+02   	1.518996e+05   	2.316193e+09   	10
@@ -257,6 +271,8 @@ afdd228b	1638400        	8.758624e+07   	3.100983e+04   	5.124047e+03   	3.10098
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.475211e+04   	6.512121e+03   	5.475211e+05   	3.040202e+10   	10
 cea37d6d	409600         	1.097392e+07   	1.504708e+04   	5.064339e+02   	1.504708e+05   	2.266711e+09   	10
@@ -289,6 +305,8 @@ afdd228b	1638400        	8.758624e+07   	2.918927e+04   	4.035680e+03   	2.91892
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	1.097392e+07   	1.467875e+04   	2.659893e+02   	1.467875e+05   	2.155366e+09   	10
 afdd228b	1638400        	8.758624e+07   	3.186232e+04   	5.396938e+03   	3.186232e+05   	1.044334e+10   	10

tools/perfmodels/sampling/codelets/44/chol_model_11.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	1.097392e+07   	9.221097e+02   	4.521529e+01   	7.930143e+04   	7.330044e+07   	86
 617e5fe6	3686400        	2.953730e+08   	1.884969e+04   	7.370619e+02   	2.111165e+06   	3.985565e+10   	112
@@ -65,6 +67,8 @@ afdd228b	1638400        	8.758624e+07   	5.940712e+03   	2.434960e+02   	2.37628
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.366740e+03   	9.457424e+01   	1.556354e+05   	8.355143e+08   	29
 cea37d6d	409600         	1.097392e+07   	2.003232e+03   	2.738589e+01   	5.809372e+04   	1.163969e+08   	29
@@ -97,6 +101,8 @@ afdd228b	1638400        	8.758624e+07   	3.522008e+03   	5.701992e+01   	1.02138
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	8.758624e+07   	3.775579e+03   	6.170997e+01   	1.094918e+05   	4.135053e+08   	29
 cea37d6d	409600         	1.097392e+07   	2.237869e+03   	3.535637e+01   	6.489820e+04   	1.452699e+08   	29
@@ -129,6 +135,8 @@ cea37d6d	409600         	1.097392e+07   	2.237869e+03   	3.535637e+01   	6.48982
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	2.953730e+08   	5.500099e+03   	6.565775e+01   	1.595029e+05   	8.774066e+08   	29
 cea37d6d	409600         	1.097392e+07   	2.220120e+03   	2.867670e+01   	6.438348e+04   	1.429629e+08   	29

tools/perfmodels/sampling/codelets/44/chol_model_11.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	9.963650e+08   	1.842284e+04   	2.612920e+03   	1.271176e+06   	2.388975e+10   	69
 617e5fe6	3686400        	2.953730e+08   	7.379027e+03   	1.089221e+03   	5.903221e+05   	4.450915e+09   	80
@@ -66,6 +68,8 @@ cea37d6d	409600         	1.097392e+07   	4.391691e+02   	4.300491e+01   	7.59762
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	9.963650e+08   	4.852293e+04   	1.266847e+04   	4.852293e+05   	2.514965e+10   	10
 617e5fe6	3686400        	2.953730e+08   	7.699799e+03   	1.513211e+03   	9.239759e+04   	7.389205e+08   	12
@@ -99,6 +103,8 @@ cea37d6d	409600         	1.097392e+07   	3.343709e+03   	3.943178e+02   	3.34370
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	9.963650e+08   	3.188534e+04   	1.123169e+04   	3.188534e+05   	1.142826e+10   	10
 617e5fe6	3686400        	2.953730e+08   	8.514691e+03   	1.568765e+03   	9.366160e+04   	8.245709e+08   	11
@@ -132,6 +138,8 @@ cea37d6d	409600         	1.097392e+07   	3.336739e+03   	3.113015e+02   	3.33673
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	9.963650e+08   	3.051372e+04   	1.107281e+04   	3.051372e+05   	1.053694e+10   	10
 617e5fe6	3686400        	2.953730e+08   	8.456328e+03   	1.411439e+03   	1.014759e+05   	8.820196e+08   	12
@@ -165,6 +173,8 @@ cea37d6d	409600         	1.097392e+07   	3.060839e+03   	4.968177e+01   	3.06083
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	9.963650e+08   	1.332935e+04   	3.063746e+03   	2.132696e+05   	2.992929e+09   	16
 617e5fe6	3686400        	2.953730e+08   	8.333388e+03   	1.108400e+03   	1.000007e+05   	8.480868e+08   	12

tools/perfmodels/sampling/codelets/44/chol_model_21.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	4.361594e+04   	1.992990e+03   	1.840593e+07   	8.044680e+11   	422
 d39bff17	3276800        	2.625536e+08   	1.391260e+04   	9.732436e+02   	6.552836e+06   	9.161314e+10   	471
@@ -66,6 +68,8 @@ d39bff17	3276800        	2.625536e+08   	1.391260e+04   	9.732436e+02   	6.55283
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.302421e+03   	2.284702e+02   	1.739468e+06   	1.097727e+10   	276
 d39bff17	3276800        	2.625536e+08   	2.553136e+03   	1.599096e+02   	6.714747e+05   	1.721091e+09   	263
@@ -98,6 +102,8 @@ d39bff17	3276800        	2.625536e+08   	2.553136e+03   	1.599096e+02   	6.71474
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.325409e+03   	1.859324e+02   	1.688884e+06   	1.069211e+10   	267
 d39bff17	3276800        	2.625536e+08   	2.539349e+03   	1.556256e+02   	6.297585e+05   	1.605183e+09   	248
@@ -130,6 +136,8 @@ d39bff17	3276800        	2.625536e+08   	2.539349e+03   	1.556256e+02   	6.29758
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.297128e+03   	2.218514e+02   	1.542796e+06   	9.727245e+09   	245
 d39bff17	3276800        	2.625536e+08   	2.528040e+03   	1.085312e+02   	7.255475e+05   	1.837594e+09   	287

tools/perfmodels/sampling/codelets/44/chol_model_21.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	4.711469e+04   	4.337925e+02   	3.203799e+06   	1.509588e+11   	68
 2c1922b7	819200         	3.287040e+07   	1.979166e+03   	8.798869e+01   	6.828124e+05   	1.354070e+09   	345
@@ -65,6 +67,8 @@ d39bff17	3276800        	2.625536e+08   	1.482664e+04   	2.506296e+02   	2.29813
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.573848e+03   	6.169449e+02   	1.360787e+06   	9.024393e+09   	207
 2c1922b7	819200         	3.287040e+07   	6.955196e+02   	8.976154e+01   	1.286711e+05   	9.098386e+07   	185
@@ -97,6 +101,8 @@ d39bff17	3276800        	2.625536e+08   	2.647434e+03   	2.520462e+02   	4.68595
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.555664e+03   	6.950469e+02   	1.252132e+06   	8.300825e+09   	191
 2c1922b7	819200         	3.287040e+07   	6.812499e+02   	8.342802e+01   	1.273937e+05   	8.808853e+07   	187
@@ -129,6 +135,8 @@ d39bff17	3276800        	2.625536e+08   	2.596800e+03   	1.668067e+02   	5.89473
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.446442e+03   	5.413553e+02   	1.276395e+06   	8.286236e+09   	198
 2c1922b7	819200         	3.287040e+07   	6.941204e+02   	8.002896e+01   	1.277182e+05   	8.983023e+07   	184
@@ -161,6 +169,8 @@ d39bff17	3276800        	2.625536e+08   	2.630763e+03   	2.300111e+02   	4.60383
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.554622e+03   	7.028631e+02   	1.238824e+06   	8.213390e+09   	189
 2c1922b7	819200         	3.287040e+07   	6.905951e+02   	7.284704e+01   	1.353566e+05   	9.451674e+07   	196
@@ -193,6 +203,8 @@ d39bff17	3276800        	2.625536e+08   	2.623425e+03   	2.211699e+02   	4.90580
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.504271e+03   	6.367049e+02   	9.951534e+05   	6.534773e+09   	153
 2c1922b7	819200         	3.287040e+07   	7.029111e+02   	9.289767e+01   	7.169693e+04   	5.127683e+07   	102
@@ -225,6 +237,8 @@ d39bff17	3276800        	2.625536e+08   	2.684586e+03   	3.481310e+02   	4.08057
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.618862e+03   	8.843940e+02   	8.405955e+05   	5.663119e+09   	127
 2c1922b7	819200         	3.287040e+07   	7.079333e+02   	9.356613e+01   	6.796160e+04   	4.895273e+07   	96
@@ -257,6 +271,8 @@ d39bff17	3276800        	2.625536e+08   	2.800887e+03   	4.371231e+02   	3.22102
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.576395e+03   	7.489644e+02   	8.878133e+05   	5.914339e+09   	135
 2c1922b7	819200         	3.287040e+07   	7.050156e+02   	1.025857e+02   	8.037177e+04   	5.786307e+07   	114
@@ -289,6 +305,8 @@ d39bff17	3276800        	2.625536e+08   	2.645162e+03   	2.750078e+02   	4.20580
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	7372800        	8.856576e+08   	6.544427e+03   	6.576164e+02   	9.358531e+05   	6.186464e+09   	143
 2c1922b7	819200         	3.287040e+07   	7.150712e+02   	1.054194e+02   	8.223319e+04   	6.008061e+07   	115

tools/perfmodels/sampling/codelets/44/chol_model_21.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	3.287040e+07   	1.868713e+03   	9.872163e+01   	2.535843e+06   	4.751987e+09   	1357
 ff82dda0	7372800        	8.856576e+08   	4.564676e+04   	7.031596e+02   	5.687586e+07   	2.596815e+12   	1246
@@ -65,6 +67,8 @@ d39bff17	3276800        	2.625536e+08   	1.417018e+04   	5.255501e+02   	8.23287
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	3.287040e+07   	6.829247e+02   	7.632991e+01   	1.420483e+05   	9.822018e+07   	208
 ff82dda0	7372800        	8.856576e+08   	6.393638e+03   	3.362739e+02   	3.650767e+06   	2.340625e+10   	571
@@ -97,6 +101,8 @@ d39bff17	3276800        	2.625536e+08   	2.602204e+03   	1.876810e+02   	6.89583
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	3.287040e+07   	6.842707e+02   	6.860830e+01   	1.211159e+05   	8.370922e+07   	177
 ff82dda0	7372800        	8.856576e+08   	6.416842e+03   	2.746569e+02   	2.951747e+06   	1.897560e+10   	460
@@ -129,6 +135,8 @@ d39bff17	3276800        	2.625536e+08   	2.601751e+03   	2.008905e+02   	6.11411
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	3.287040e+07   	6.827700e+02   	7.214633e+01   	1.297263e+05   	8.956219e+07   	190
 ff82dda0	7372800        	8.856576e+08   	6.409443e+03   	3.434222e+02   	3.243178e+06   	2.084664e+10   	506

tools/perfmodels/sampling/codelets/44/chol_model_21.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	2.988058e+09   	6.085177e+04   	1.761936e+04   	4.551712e+07   	3.002008e+12   	748
 ff82dda0	7372800        	8.856576e+08   	1.775772e+04   	3.736007e+03   	2.386637e+07   	4.425714e+11   	1344
@@ -66,6 +68,8 @@ d39bff17	3276800        	2.625536e+08   	5.276862e+03   	9.789431e+02   	7.07099
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	2.988058e+09   	5.422549e+03   	1.109859e+03   	2.917331e+06   	1.648207e+10   	538
 ff82dda0	7372800        	8.856576e+08   	2.018325e+03   	2.870643e+02   	1.687320e+06   	3.474450e+09   	836
@@ -99,6 +103,8 @@ d39bff17	3276800        	2.625536e+08   	1.179394e+03   	1.705358e+02   	3.53818
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	2.988058e+09   	5.480822e+03   	1.130650e+03   	2.899355e+06   	1.656711e+10   	529
 ff82dda0	7372800        	8.856576e+08   	2.005118e+03   	2.787124e+02   	1.836689e+06   	3.753933e+09   	916
@@ -132,6 +138,8 @@ d39bff17	3276800        	2.625536e+08   	1.227664e+03   	1.874122e+02   	2.97094
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	2.988058e+09   	5.510320e+03   	1.138149e+03   	2.992104e+06   	1.719084e+10   	543
 ff82dda0	7372800        	8.856576e+08   	2.005118e+03   	2.787124e+02   	1.836689e+06   	3.753933e+09   	916
@@ -165,6 +173,8 @@ d39bff17	3276800        	2.625536e+08   	1.227664e+03   	1.874122e+02   	2.97094
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	2.988058e+09   	5.534879e+03   	1.226333e+03   	3.210230e+06   	1.864049e+10   	580
 ff82dda0	7372800        	8.856576e+08   	2.051755e+03   	2.742098e+02   	1.811700e+06   	3.783559e+09   	883

tools/perfmodels/sampling/codelets/44/chol_model_22.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	8.407559e+04   	3.415249e+03   	1.399859e+08   	1.178881e+13   	1665
 f0ac7beb	4915200        	5.242880e+08   	2.610119e+04   	1.422415e+03   	4.251883e+07   	1.113088e+12   	1629
@@ -66,6 +68,8 @@ d46431bb	1228800        	6.553600e+07   	3.432588e+03   	1.640071e+02   	9.13068
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.795670e+03   	5.624760e+01   	1.818024e+07   	5.084653e+10   	6503
 f0ac7beb	4915200        	5.242880e+08   	8.880682e+02   	3.243424e+01   	5.760010e+06   	5.122105e+09   	6486
@@ -98,6 +102,8 @@ d46431bb	1228800        	6.553600e+07   	2.022322e+02   	1.071833e+01   	1.11611
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.815870e+03   	4.694553e+01   	1.827781e+07   	5.148226e+10   	6491
 f0ac7beb	4915200        	5.242880e+08   	8.961392e+02   	3.565427e+01   	5.741564e+06   	5.153386e+09   	6407
@@ -130,6 +136,8 @@ d46431bb	1228800        	6.553600e+07   	2.020566e+02   	9.551669e+00   	1.10787
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.810209e+03   	3.946230e+01   	1.806121e+07   	5.076578e+10   	6427
 f0ac7beb	4915200        	5.242880e+08   	8.833768e+02   	3.092949e+01   	5.707497e+06   	5.048051e+09   	6461

tools/perfmodels/sampling/codelets/44/chol_model_22.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	8.987520e+04   	9.682708e+02   	2.085105e+07   	1.874210e+12   	232
 d46431bb	1228800        	6.553600e+07   	3.465410e+03   	7.427679e+01   	2.737674e+06   	9.491521e+09   	790
@@ -65,6 +67,8 @@ f0ac7beb	4915200        	5.242880e+08   	2.744657e+04   	5.713498e+02   	7.57525
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.825219e+03   	1.227364e+02   	1.106356e+07   	3.131597e+10   	3916
 d46431bb	1228800        	6.553600e+07   	2.060677e+02   	2.909125e+01   	5.497887e+05   	1.155516e+08   	2668
@@ -97,6 +101,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.076961e+02   	5.977819e+01   	3.44107
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.823818e+03   	1.560928e+02   	1.063450e+07   	3.012164e+10   	3766
 d46431bb	1228800        	6.553600e+07   	1.632767e+02   	2.137437e+01   	5.224853e+05   	8.677162e+07   	3200
@@ -129,6 +135,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.226606e+02   	6.080500e+01   	3.41015
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.821988e+03   	1.631366e+02   	1.046111e+07   	2.961977e+10   	3707
 d46431bb	1228800        	6.553600e+07   	1.661504e+02   	2.199315e+01   	5.172263e+05   	8.744312e+07   	3113
@@ -161,6 +169,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.172785e+02   	5.967474e+01   	3.49207
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.817019e+03   	1.506473e+02   	1.119202e+07   	3.161828e+10   	3973
 d46431bb	1228800        	6.553600e+07   	2.042642e+02   	2.707555e+01   	5.498791e+05   	1.142941e+08   	2692
@@ -193,6 +203,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.044446e+02   	5.780357e+01   	3.47759
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.816710e+03   	1.414989e+02   	1.032888e+07   	2.916687e+10   	3667
 d46431bb	1228800        	6.553600e+07   	1.639497e+02   	2.257894e+01   	4.474187e+05   	7.474542e+07   	2729
@@ -225,6 +237,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.331501e+02   	5.611510e+01   	3.23523
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.815225e+03   	1.445443e+02   	1.009821e+07   	2.850368e+10   	3587
 d46431bb	1228800        	6.553600e+07   	1.659035e+02   	2.475202e+01   	4.006569e+05   	6.794997e+07   	2415
@@ -257,6 +271,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.137585e+02   	6.301297e+01   	3.12596
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.807699e+03   	1.292512e+02   	1.006279e+07   	2.831317e+10   	3584
 d46431bb	1228800        	6.553600e+07   	1.680450e+02   	2.634123e+01   	3.922170e+05   	6.752957e+07   	2334
@@ -289,6 +305,8 @@ f0ac7beb	4915200        	5.242880e+08   	8.912551e+02   	5.629783e+01   	3.09087
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	11059200       	1.769472e+09   	2.827622e+03   	1.304764e+02   	1.027841e+07   	2.912533e+10   	3635
 d46431bb	1228800        	6.553600e+07   	1.666216e+02   	2.357918e+01   	4.083895e+05   	6.940921e+07   	2451

tools/perfmodels/sampling/codelets/44/chol_model_22.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	6.553600e+07   	3.262643e+03   	7.810468e+01   	1.532463e+07   	5.002746e+10   	4697
 24c84a50	11059200       	1.769472e+09   	8.778020e+04   	9.598441e+02   	2.889724e+08   	2.536909e+13   	3292
@@ -65,6 +67,8 @@ f0ac7beb	4915200        	5.242880e+08   	2.647095e+04   	4.073263e+02   	4.76212
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	6.553600e+07   	2.011248e+02   	1.498037e+01   	1.633334e+06   	3.303264e+08   	8121
 24c84a50	11059200       	1.769472e+09   	2.805491e+03   	6.931361e+01   	3.683329e+07   	1.033985e+11   	13129
@@ -97,6 +101,8 @@ f0ac7beb	4915200        	5.242880e+08   	8.944354e+02   	3.828761e+01   	5.68771
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	6.553600e+07   	2.004836e+02   	1.337883e+01   	1.620709e+06   	3.263726e+08   	8084
 24c84a50	11059200       	1.769472e+09   	2.828590e+03   	6.702999e+01   	3.650578e+07   	1.033178e+11   	12906
@@ -129,6 +135,8 @@ f0ac7beb	4915200        	5.242880e+08   	9.090465e+02   	3.898196e+01   	5.69154
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	6.553600e+07   	1.603761e+02   	1.178063e+01   	1.522450e+06   	2.454821e+08   	9493
 24c84a50	11059200       	1.769472e+09   	2.828209e+03   	7.003112e+01   	3.675541e+07   	1.040157e+11   	12996

tools/perfmodels/sampling/codelets/44/chol_model_22.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	5.971968e+09   	2.632193e+03   	3.963412e+02   	2.414774e+07   	6.500262e+10   	9174
 24c84a50	11059200       	1.769472e+09   	7.545142e+02   	4.622075e+01   	1.174100e+07   	8.891991e+09   	15561
@@ -66,6 +68,8 @@ d46431bb	1228800        	6.553600e+07   	5.633559e+01   	1.027680e+01   	7.34503
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	5.971968e+09   	2.577659e+03   	3.627579e+02   	2.443621e+07   	6.423574e+10   	9480
 24c84a50	11059200       	1.769472e+09   	7.434516e+02   	4.620554e+01   	1.184541e+07   	8.840509e+09   	15933
@@ -99,6 +103,8 @@ d46431bb	1228800        	6.553600e+07   	5.716015e+01   	1.157773e+01   	6.22359
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	5.971968e+09   	2.575702e+03   	3.709810e+02   	2.479886e+07   	6.519954e+10   	9628
 24c84a50	11059200       	1.769472e+09   	7.437036e+02   	4.816754e+01   	1.192752e+07   	8.907749e+09   	16038
@@ -132,6 +138,8 @@ d46431bb	1228800        	6.553600e+07   	5.656092e+01   	1.160148e+01   	5.52373
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	5.971968e+09   	2.620269e+03   	3.685780e+02   	2.431872e+07   	6.498239e+10   	9281
 24c84a50	11059200       	1.769472e+09   	7.558763e+02   	4.610795e+01   	1.204791e+07   	9.140616e+09   	15939
@@ -165,6 +173,8 @@ d46431bb	1228800        	6.553600e+07   	5.829194e+01   	1.220705e+01   	7.80587
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	5.971968e+09   	1.120418e+05   	2.694960e+04   	3.755640e+08   	4.451334e+13   	3352
 24c84a50	11059200       	1.769472e+09   	3.494026e+04   	6.587010e+03   	1.697048e+08   	6.140270e+12   	4857

tools/perfmodels/sampling/codelets/44/cl_update.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 49ec0825	34613280       	0.000000e+00   	7.774706e+04   	9.102018e+02   	4.664824e+06   	3.627260e+11   	60
 6d78e48f	4461600        	0.000000e+00   	9.929947e+03   	1.596124e+02   	1.797320e+06   	1.785191e+10   	181
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 49ec0825	34613280       	0.000000e+00   	5.051327e+03   	6.437605e+02   	2.692357e+06   	1.382086e+10   	533
 6d78e48f	4461600        	0.000000e+00   	1.009230e+03   	9.724548e+01   	3.835076e+05   	3.906410e+08   	380
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 49ec0825	34613280       	0.000000e+00   	5.105276e+03   	6.922431e+02   	2.807902e+06   	1.459867e+10   	550
 6d78e48f	4461600        	0.000000e+00   	1.012651e+03   	9.766669e+01   	3.686049e+05   	3.767403e+08   	364
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 49ec0825	34613280       	0.000000e+00   	4.938766e+03   	7.348710e+02   	2.780525e+06   	1.403640e+10   	563
 6d78e48f	4461600        	0.000000e+00   	1.022015e+03   	1.088844e+02   	3.740577e+05   	3.866319e+08   	366

tools/perfmodels/sampling/codelets/44/cl_update.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.774670e+03   	3.622348e+02   	1.348749e+06   	2.493306e+09   	760
 6d78e48f	4461600        	0.000000e+00   	1.036351e+03   	9.390524e+01   	2.839601e+05   	2.966985e+08   	274
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.813689e+03   	3.729019e+02   	1.331248e+06   	2.516537e+09   	734
 6d78e48f	4461600        	0.000000e+00   	1.023951e+03   	1.005326e+02   	3.553110e+05   	3.673281e+08   	347
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	4.692078e+04   	5.010795e+02   	1.501465e+06   	7.045793e+10   	32
 6d78e48f	4461600        	0.000000e+00   	1.405585e+04   	1.896523e+02   	7.590156e+05   	1.067055e+10   	54
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.859413e+03   	3.366203e+02   	1.309027e+06   	2.513795e+09   	704
 6d78e48f	4461600        	0.000000e+00   	1.027564e+03   	1.046018e+02   	3.483442e+05   	3.616551e+08   	339
@@ -161,6 +169,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.862800e+03   	3.783314e+02   	8.438483e+05   	1.636760e+09   	453
 6d78e48f	4461600        	0.000000e+00   	9.567271e+02   	3.148502e+01   	5.606421e+05   	5.369624e+08   	586
@@ -193,6 +203,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.889366e+03   	3.958521e+02   	1.186522e+06   	2.340180e+09   	628
 6d78e48f	4461600        	0.000000e+00   	1.028680e+03   	8.044529e+01   	2.880303e+05   	2.981029e+08   	280
@@ -225,6 +237,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.814024e+03   	3.173708e+02   	1.186372e+06   	2.217980e+09   	654
 6d78e48f	4461600        	0.000000e+00   	1.025445e+03   	7.185494e+01   	3.466003e+05   	3.571646e+08   	338
@@ -257,6 +271,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.793350e+03   	3.531620e+02   	1.388053e+06   	2.585801e+09   	774
 6d78e48f	4461600        	0.000000e+00   	1.033622e+03   	1.055186e+02   	3.783058e+05   	3.951004e+08   	366
@@ -289,6 +305,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.781570e+03   	3.261441e+02   	1.501864e+06   	2.765346e+09   	843
 6d78e48f	4461600        	0.000000e+00   	1.022184e+03   	1.018115e+02   	3.751415e+05   	3.872679e+08   	367

tools/perfmodels/sampling/codelets/44/cl_update.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 6d78e48f	4461600        	0.000000e+00   	6.670318e+03   	3.279077e+02   	6.103341e+06   	4.080961e+10   	915
 8ec75d42	14753312       	0.000000e+00   	2.178007e+04   	1.559694e+03   	1.008417e+07   	2.207603e+11   	463
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 6d78e48f	4461600        	0.000000e+00   	1.028619e+03   	1.201323e+02   	5.626547e+05   	5.866515e+08   	547
 8ec75d42	14753312       	0.000000e+00   	1.871093e+03   	3.437894e+02   	1.981488e+06   	3.832713e+09   	1059
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 6d78e48f	4461600        	0.000000e+00   	1.024201e+03   	1.096599e+02   	6.452464e+05   	6.684377e+08   	630
 8ec75d42	14753312       	0.000000e+00   	1.877457e+03   	3.608958e+02   	1.907496e+06   	3.713572e+09   	1016
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 6d78e48f	4461600        	0.000000e+00   	1.010004e+03   	1.090743e+02   	5.383321e+05   	5.500588e+08   	533
 8ec75d42	14753312       	0.000000e+00   	1.986058e+03   	3.264552e+02   	1.288952e+06   	2.629100e+09   	649

tools/perfmodels/sampling/codelets/44/cl_update.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.292737e+03   	8.111826e+01   	1.783977e+06   	2.315293e+09   	1380
 6d78e48f	4461600        	0.000000e+00   	7.254397e+02   	8.693801e+01   	2.717497e+06   	1.999693e+09   	3746
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	2.010356e+04   	1.739800e+03   	4.201644e+06   	8.510064e+10   	209
 6d78e48f	4461600        	0.000000e+00   	6.471465e+03   	9.708551e+02   	2.344612e+07   	1.551456e+11   	3623
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.333639e+03   	8.095890e+01   	1.871095e+06   	2.504561e+09   	1403
 6d78e48f	4461600        	0.000000e+00   	7.466797e+02   	9.599725e+01   	2.594712e+06   	1.969443e+09   	3475
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.319437e+03   	8.470023e+01   	1.921100e+06   	2.545216e+09   	1456
 6d78e48f	4461600        	0.000000e+00   	7.342135e+02   	9.435309e+01   	2.608661e+06   	1.946944e+09   	3553
@@ -161,6 +169,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8ec75d42	14753312       	0.000000e+00   	1.324805e+03   	7.460278e+01   	1.748742e+06   	2.324088e+09   	1320
 6d78e48f	4461600        	0.000000e+00   	7.321696e+02   	8.668478e+01   	2.571380e+06   	1.909076e+09   	3512

tools/perfmodels/sampling/codelets/44/null.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs

tools/perfmodels/sampling/codelets/44/null.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs

tools/perfmodels/sampling/codelets/44/overlap_sleep_1024_24.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.080896e+05   	5.145841e+07   	7190
 
@@ -63,6 +65,8 @@ a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.08089
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.959505e+05   	1.756781e+07   	2187
 
@@ -93,6 +97,8 @@ a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.95950
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.547285e+03   	2.318591e+05   	28
 
@@ -123,6 +129,8 @@ a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.54728
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.082936e+01   	9.075245e+01   	5.368015e+04   	4.878224e+06   	591
 

tools/perfmodels/sampling/codelets/44/overlap_sleep_1024_24.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.080896e+05   	5.145841e+07   	7190
 
@@ -63,6 +65,8 @@ a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.08089
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.959505e+05   	1.756781e+07   	2187
 
@@ -93,6 +97,8 @@ a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.95950
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.547285e+03   	2.318591e+05   	28
 
@@ -123,6 +129,8 @@ a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.54728
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.082936e+01   	9.075245e+01   	5.368015e+04   	4.878224e+06   	591
 

tools/perfmodels/sampling/codelets/44/overlap_sleep_1024_24.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.080896e+05   	5.145841e+07   	7190
 
@@ -63,6 +65,8 @@ a3d3725e	1024           	0.000000e+00   	8.457435e+01   	8.456846e+01   	6.08089
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.959505e+05   	1.756781e+07   	2187
 
@@ -93,6 +97,8 @@ a3d3725e	1024           	0.000000e+00   	8.959785e+01   	8.957735e+01   	1.95950
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.547285e+03   	2.318591e+05   	28
 
@@ -123,6 +129,8 @@ a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.54728
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.082936e+01   	9.075245e+01   	5.368015e+04   	4.878224e+06   	591
 
@@ -153,6 +161,8 @@ a3d3725e	1024           	0.000000e+00   	9.082936e+01   	9.075245e+01   	5.36801
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 a3d3725e	1024           	0.000000e+00   	9.097446e+01   	8.933429e+01   	2.547285e+03   	2.318591e+05   	28
 

tools/perfmodels/sampling/codelets/44/save_cl_bottom.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	4.419323e+01   	9.394629e+00   	1.825180e+04   	8.430572e+05   	413
 fb4b8624	4427800        	0.000000e+00   	1.267467e+01   	2.411186e+00   	5.754301e+03   	7.557335e+04   	454
@@ -65,6 +67,8 @@ fb4b8624	4427800        	0.000000e+00   	1.267467e+01   	2.411186e+00   	5.75430
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	3.910144e+01   	6.371108e+00   	1.329449e+03   	5.336347e+04   	34
 fb4b8624	4427800        	0.000000e+00   	3.998483e+01   	8.150933e+00   	2.519044e+03   	1.049091e+05   	63
@@ -97,6 +101,8 @@ fb4b8624	4427800        	0.000000e+00   	3.998483e+01   	8.150933e+00   	2.51904
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	3.173112e+01   	3.816078e+00   	7.615470e+02   	2.451424e+04   	24
 fb4b8624	4427800        	0.000000e+00   	2.860497e+01   	5.248990e+00   	1.029779e+03   	3.044867e+04   	36
@@ -129,6 +135,8 @@ fb4b8624	4427800        	0.000000e+00   	2.860497e+01   	5.248990e+00   	1.02977
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	3.719045e+01   	7.851419e+00   	2.566141e+03   	9.968943e+04   	69
 fb4b8624	4427800        	0.000000e+00   	4.509905e+01   	6.110617e+00   	9.470800e+02   	4.349654e+04   	21

tools/perfmodels/sampling/codelets/44/save_cl_bottom.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.985465e+01   	6.158621e+00   	3.552703e+03   	1.105782e+05   	119
 fb4b8624	4427800        	0.000000e+00   	1.132689e+01   	2.249702e+00   	2.423954e+03   	2.853894e+04   	214
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.622304e+01   	1.121739e+01   	9.27680
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.632587e+01   	4.244468e+00   	1.174134e+04   	3.171360e+05   	446
 fb4b8624	4427800        	0.000000e+00   	2.560067e+01   	2.946464e+00   	6.809779e+03   	1.766442e+05   	266
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.687395e+01   	3.041318e+00   	1.37863
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.682825e+01   	3.688517e+00   	9.309402e+03   	2.544759e+05   	347
 fb4b8624	4427800        	0.000000e+00   	2.601287e+01   	3.034296e+00   	6.711320e+03   	1.769561e+05   	258
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.650277e+01   	3.250317e+00   	1.32778
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.844841e+01   	4.987346e+00   	1.118023e+04   	3.278350e+05   	393
 fb4b8624	4427800        	0.000000e+00   	2.545228e+01   	3.038424e+00   	7.533874e+03   	1.944869e+05   	296
@@ -161,6 +169,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.671593e+01   	2.977811e+00   	9.51087
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.683154e+01   	3.643920e+00   	1.145707e+04   	3.130806e+05   	427
 fb4b8624	4427800        	0.000000e+00   	2.439165e+01   	2.519213e+00   	6.951620e+03   	1.713702e+05   	285
@@ -193,6 +203,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.686670e+01   	3.337051e+00   	1.33258
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.743422e+01   	5.313897e+00   	8.504608e+03   	2.420709e+05   	310
 fb4b8624	4427800        	0.000000e+00   	2.591823e+01   	3.009457e+00   	7.879143e+03   	2.069667e+05   	304
@@ -225,6 +237,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.671837e+01   	2.963498e+00   	1.28248
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.572873e+01   	2.716127e+00   	1.232406e+04   	3.206163e+05   	479
 fb4b8624	4427800        	0.000000e+00   	2.555023e+01   	2.989409e+00   	6.362008e+03   	1.647760e+05   	249
@@ -257,6 +271,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.648407e+01   	2.593556e+00   	1.50429
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.535931e+01   	2.801001e+00   	7.303480e+03   	1.874707e+05   	288
 fb4b8624	4427800        	0.000000e+00   	2.706983e+01   	4.764143e+00   	1.228970e+04   	3.429847e+05   	454
@@ -289,6 +305,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.645378e+01   	3.704623e+00   	1.25126
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.565071e+01   	2.881053e+00   	1.064505e+04   	2.764977e+05   	415
 fb4b8624	4427800        	0.000000e+00   	2.622930e+01   	4.388391e+00   	8.262230e+03   	2.227788e+05   	315

tools/perfmodels/sampling/codelets/44/save_cl_bottom.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	1.291871e+01   	2.707056e+00   	1.452063e+04   	1.958246e+05   	1124
 4af260f6	14678040       	0.000000e+00   	2.737328e+01   	5.740626e+00   	2.241872e+04   	6.406639e+05   	819
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	4.727593e+01   	1.006422e+01   	4.17919
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	4.529760e+01   	1.106616e+01   	3.940891e+03   	1.891669e+05   	87
 4af260f6	14678040       	0.000000e+00   	5.186998e+01   	9.163546e+00   	2.386019e+03   	1.276254e+05   	46
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.555996e+01   	1.123960e+01   	2.77799
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	4.174505e+01   	7.717897e+00   	1.711547e+03   	7.389082e+04   	41
 4af260f6	14678040       	0.000000e+00   	4.338701e+01   	9.950636e+00   	8.677401e+03   	3.962895e+05   	200
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.523574e+01   	1.243105e+01   	2.15419
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	5.145250e+01   	1.035300e+01   	1.955195e+03   	1.046727e+05   	38
 4af260f6	14678040       	0.000000e+00   	4.717138e+01   	8.365012e+00   	2.217055e+03   	1.078703e+05   	47

tools/perfmodels/sampling/codelets/44/save_cl_bottom.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.447447e+01   	7.398265e+00   	3.237153e+04   	1.167387e+06   	939
 fb4b8624	4427800        	0.000000e+00   	5.439097e+01   	1.253425e+01   	3.094846e+05   	1.772711e+07   	5690
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.041329e+01   	1.085485e+01   	6.22604
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.176283e+01   	6.812714e+00   	1.673901e+04   	5.561382e+05   	527
 fb4b8624	4427800        	0.000000e+00   	5.311651e+01   	1.346481e+01   	1.290731e+04   	7.296474e+05   	243
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	4.192896e+01   	9.759572e+00   	3.20756
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.786531e+01   	9.328071e+00   	1.991715e+04   	7.999380e+05   	526
 fb4b8624	4427800        	0.000000e+00   	5.555598e+01   	1.303330e+01   	9.444517e+03   	5.535768e+05   	170
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	4.359390e+01   	1.022197e+01   	2.21892
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	4.035980e+01   	9.947105e+00   	1.989738e+04   	8.518341e+05   	493
 fb4b8624	4427800        	0.000000e+00   	8.863692e+01   	1.909792e+01   	1.161144e+04   	1.076982e+06   	131
@@ -161,6 +169,8 @@ f2ff9ae5	34480152       	0.000000e+00   	3.838146e+01   	9.359960e+00   	2.89012
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.505264e+01   	8.845541e+00   	1.945422e+04   	7.253469e+05   	555
 fb4b8624	4427800        	0.000000e+00   	4.717545e+01   	1.027132e+01   	6.227160e+03   	3.076951e+05   	132

tools/perfmodels/sampling/codelets/44/save_cl_top.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	4.346555e+01   	9.370422e+00   	2.103733e+04   	9.568966e+05   	484
 fb4b8624	4427800        	0.000000e+00   	1.080055e+01   	2.408554e+00   	6.631537e+03   	7.518614e+04   	614
@@ -65,6 +67,8 @@ fb4b8624	4427800        	0.000000e+00   	1.080055e+01   	2.408554e+00   	6.63153
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	3.184284e+01   	5.707419e+00   	4.840111e+03   	1.590742e+05   	152
 fb4b8624	4427800        	0.000000e+00   	3.194475e+01   	5.964283e+00   	1.150011e+03   	3.801743e+04   	36
@@ -97,6 +101,8 @@ fb4b8624	4427800        	0.000000e+00   	3.194475e+01   	5.964283e+00   	1.15001
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	2.735681e+01   	5.823931e+00   	3.063963e+03   	8.761910e+04   	112
 fb4b8624	4427800        	0.000000e+00   	3.161427e+01   	5.733859e+00   	2.212999e+03   	7.226375e+04   	70
@@ -129,6 +135,8 @@ fb4b8624	4427800        	0.000000e+00   	3.161427e+01   	5.733859e+00   	2.21299
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f2ff9ae5	34480152       	0.000000e+00   	3.900993e+01   	8.465923e+00   	7.489907e+03   	3.059418e+05   	192
 fb4b8624	4427800        	0.000000e+00   	3.364966e+01   	7.354940e+00   	1.278687e+03   	4.508300e+04   	38

tools/perfmodels/sampling/codelets/44/save_cl_top.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.246622e+01   	6.891153e+00   	3.928413e+03   	1.332868e+05   	121
 fb4b8624	4427800        	0.000000e+00   	1.139753e+01   	2.243693e+00   	2.644226e+03   	3.130556e+04   	232
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.591168e+01   	1.328211e+01   	1.24123
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.604823e+01   	3.286196e+00   	1.130493e+04   	2.991603e+05   	434
 fb4b8624	4427800        	0.000000e+00   	2.652276e+01   	4.354433e+00   	7.850738e+03   	2.138358e+05   	296
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.714414e+01   	3.836601e+00   	1.55535
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.599288e+01   	3.808778e+00   	1.115095e+04   	2.960687e+05   	429
 fb4b8624	4427800        	0.000000e+00   	2.539365e+01   	2.861737e+00   	6.678529e+03   	1.717461e+05   	263
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.629746e+01   	2.517281e+00   	1.15971
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.561750e+01   	2.633232e+00   	1.155349e+04   	2.990988e+05   	451
 fb4b8624	4427800        	0.000000e+00   	2.673210e+01   	4.378492e+00   	1.031859e+04   	2.832378e+05   	386
@@ -161,6 +169,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.631930e+01   	2.903449e+00   	1.33965
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.607685e+01   	3.121182e+00   	7.979517e+03   	2.110617e+05   	306
 fb4b8624	4427800        	0.000000e+00   	2.621449e+01   	3.800716e+00   	7.654632e+03   	2.048804e+05   	292
@@ -193,6 +203,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.661811e+01   	2.706929e+00   	1.81003
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.759081e+01   	5.463486e+00   	5.435390e+03   	1.558472e+05   	197
 fb4b8624	4427800        	0.000000e+00   	2.575898e+01   	3.723342e+00   	7.779212e+03   	2.045713e+05   	302
@@ -225,6 +237,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.684177e+01   	3.098778e+00   	1.18103
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.613306e+01   	2.901462e+00   	1.100202e+04   	2.910606e+05   	421
 fb4b8624	4427800        	0.000000e+00   	2.615768e+01   	3.461177e+00   	7.010257e+03   	1.865826e+05   	268
@@ -257,6 +271,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.749333e+01   	3.923485e+00   	1.49288
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.628755e+01   	3.829892e+00   	1.025215e+04   	2.752243e+05   	390
 fb4b8624	4427800        	0.000000e+00   	2.540957e+01   	3.333356e+00   	8.258109e+03   	2.134461e+05   	325
@@ -289,6 +305,8 @@ f2ff9ae5	34480152       	0.000000e+00   	2.728087e+01   	3.903560e+00   	1.40496
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	2.705248e+01   	4.049710e+00   	1.163257e+04   	3.217418e+05   	430
 fb4b8624	4427800        	0.000000e+00   	2.626990e+01   	3.774104e+00   	6.908983e+03   	1.852444e+05   	263

tools/perfmodels/sampling/codelets/44/save_cl_top.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	1.161593e+01   	2.312881e+00   	1.684310e+04   	2.034051e+05   	1450
 4af260f6	14678040       	0.000000e+00   	2.793439e+01   	6.208645e+00   	2.807406e+04   	8.229715e+05   	1005
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.388292e+01   	1.191766e+01   	4.93028
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	3.349897e+01   	6.495369e+00   	7.939257e+03   	2.759560e+05   	237
 4af260f6	14678040       	0.000000e+00   	3.814493e+01   	8.460348e+00   	1.609716e+04   	6.442306e+05   	422
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	3.894616e+01   	8.022125e+00   	1.33974
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	4.505725e+01   	1.044174e+01   	7.209160e+02   	3.422697e+04   	16
 4af260f6	14678040       	0.000000e+00   	3.820932e+01   	8.787776e+00   	1.138638e+04   	4.580788e+05   	298
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	4.714002e+01   	1.060923e+01   	1.34349
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 fb4b8624	4427800        	0.000000e+00   	2.397521e+01   	2.109607e+00   	5.754050e+02   	1.390227e+04   	24
 4af260f6	14678040       	0.000000e+00   	3.827520e+01   	8.943097e+00   	9.453975e+03   	3.816076e+05   	247

tools/perfmodels/sampling/codelets/44/save_cl_top.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.501046e+01   	7.466097e+00   	2.835847e+04   	1.037995e+06   	810
 fb4b8624	4427800        	0.000000e+00   	2.773216e+01   	6.482940e+00   	1.680846e+05   	4.916085e+06   	6061
@@ -65,6 +67,8 @@ f2ff9ae5	34480152       	0.000000e+00   	5.337509e+01   	1.160081e+01   	6.59182
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.362211e+01   	7.569501e+00   	1.795421e+04   	6.342550e+05   	534
 fb4b8624	4427800        	0.000000e+00   	3.231969e+01   	5.862640e+00   	1.877774e+04   	6.268602e+05   	581
@@ -97,6 +101,8 @@ f2ff9ae5	34480152       	0.000000e+00   	3.995777e+01   	9.699452e+00   	3.18063
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.654429e+01   	8.110997e+00   	1.710273e+04   	6.557958e+05   	468
 fb4b8624	4427800        	0.000000e+00   	3.606370e+01   	8.402269e+00   	2.171034e+04   	8.254553e+05   	602
@@ -129,6 +135,8 @@ f2ff9ae5	34480152       	0.000000e+00   	3.192218e+01   	6.956874e+00   	1.69506
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.551068e+01   	7.784366e+00   	1.278384e+04   	4.757777e+05   	360
 fb4b8624	4427800        	0.000000e+00   	3.460669e+01   	7.284566e+00   	1.996806e+04   	7.216470e+05   	577
@@ -161,6 +169,8 @@ f2ff9ae5	34480152       	0.000000e+00   	3.547098e+01   	8.430109e+00   	2.80575
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 4af260f6	14678040       	0.000000e+00   	3.712899e+01   	8.969310e+00   	2.030956e+04   	7.980787e+05   	547
 fb4b8624	4427800        	0.000000e+00   	3.619911e+01   	8.162351e+00   	2.287784e+04   	8.702638e+05   	632

tools/perfmodels/sampling/codelets/44/starpu_dgemm_gemm.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	6.739553e+05   	1.180373e+04   	5.391643e+07   	3.634841e+13   	80
 0b0b0ce8	7372800        	2.621440e+08   	2.919185e+04   	3.106016e+03   	2.335348e+06   	6.894489e+10   	80
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	2.313178e+04   	3.749098e+01   	2.451969e+06   	5.671856e+10   	106
 0b0b0ce8	7372800        	2.621440e+08   	1.039822e+03   	4.572723e+01   	9.982293e+04   	1.039988e+08   	96
@@ -98,6 +102,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	2.311999e+04   	3.792305e+01   	2.427599e+06   	5.612623e+10   	105
 0b0b0ce8	7372800        	2.621440e+08   	1.036523e+03   	7.589914e+00   	8.810443e+04   	9.132713e+07   	85
@@ -130,6 +136,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	2.312215e+04   	3.532854e+01   	2.427826e+06   	5.613668e+10   	105
 0b0b0ce8	7372800        	2.621440e+08   	1.036998e+03   	4.343669e+01   	1.078478e+05   	1.120342e+08   	104

tools/perfmodels/sampling/codelets/44/starpu_dgemm_gemm.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.052061e+03   	3.198115e+01   	6.838395e+04   	7.201055e+07   	65
 4220e23d	29491200       	2.097152e+09   	7.092203e+03   	4.667104e+02   	6.028372e+05   	4.293959e+09   	85
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.052063e+03   	4.974434e+01   	7.680058e+04   	8.097966e+07   	73
 4220e23d	29491200       	2.097152e+09   	7.169429e+03   	6.510141e+02   	6.165709e+05   	4.456910e+09   	86
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.073351e+03   	1.039589e+02   	5.796097e+04   	6.279609e+07   	54
 4220e23d	29491200       	2.097152e+09   	7.178253e+03   	6.674450e+02   	6.245080e+05   	4.521634e+09   	87
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.047275e+03   	4.810046e+01   	6.074194e+04   	6.374769e+07   	58
 4220e23d	29491200       	2.097152e+09   	7.215871e+03   	7.571281e+02   	6.277808e+05   	4.579858e+09   	87
@@ -161,6 +169,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.045464e+03   	2.548321e+01   	6.168239e+04   	6.452506e+07   	59
 4220e23d	29491200       	2.097152e+09   	7.130284e+03   	4.158059e+02   	5.632924e+05   	4.030093e+09   	79
@@ -193,6 +203,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.058842e+03   	8.984549e+01   	6.353054e+04   	6.775316e+07   	60
 4220e23d	29491200       	2.097152e+09   	7.197321e+03   	6.902584e+02   	6.549562e+05   	4.757287e+09   	91
@@ -225,6 +237,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.063382e+03   	9.562944e+01   	5.529587e+04   	5.927619e+07   	52
 4220e23d	29491200       	2.097152e+09   	7.227464e+03   	8.541890e+02   	6.287894e+05   	4.608031e+09   	87
@@ -257,6 +271,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.057961e+03   	6.059722e+01   	5.289807e+04   	5.614771e+07   	50
 4220e23d	29491200       	2.097152e+09   	7.169935e+03   	6.166650e+02   	5.592549e+05   	4.039483e+09   	78
@@ -289,6 +305,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	3.132122e+04   	3.995607e+03   	8.456730e+05   	2.691857e+10   	27
 4220e23d	29491200       	2.097152e+09   	2.241875e+05   	7.780157e+03   	6.053063e+06   	1.358656e+12   	27

tools/perfmodels/sampling/codelets/44/starpu_dgemm_gemm.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	2.783376e+04   	1.016266e+03   	2.254534e+06   	6.283582e+10   	81
 492beed5	66355200       	7.077888e+09   	7.068870e+05   	1.582112e+04   	5.725785e+07   	4.049511e+13   	81
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.040745e+03   	1.710737e+01   	1.040745e+05   	1.083442e+08   	100
 492beed5	66355200       	7.077888e+09   	2.322675e+04   	6.514638e+01   	2.438809e+06   	5.664606e+10   	105
@@ -98,6 +102,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.057967e+03   	4.209841e+01   	1.057967e+05   	1.121067e+08   	100
 492beed5	66355200       	7.077888e+09   	2.322865e+04   	8.861437e+01   	2.439008e+06   	5.665569e+10   	105
@@ -130,6 +136,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	7372800        	2.621440e+08   	1.050834e+03   	7.708100e+01   	1.019309e+05   	1.076889e+08   	97
 492beed5	66355200       	7.077888e+09   	2.323864e+04   	5.619683e+01   	2.440057e+06   	5.670394e+10   	105

tools/perfmodels/sampling/codelets/44/starpu_dgemm_gemm.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	6.467396e+03   	5.820387e+02   	1.403425e+06   	9.150018e+09   	217
 0b0b0ce8	7372800        	2.621440e+08   	2.828637e+02   	4.132770e+01   	2.376055e+04   	6.864469e+06   	84
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	6.530201e+03   	6.982602e+02   	1.214617e+06   	8.022384e+09   	186
 0b0b0ce8	7372800        	2.621440e+08   	2.596160e+02   	3.720670e+01   	2.907699e+04   	7.703898e+06   	112
@@ -99,6 +103,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	6.594324e+03   	6.341124e+02   	1.384808e+06   	9.216313e+09   	210
 0b0b0ce8	7372800        	2.621440e+08   	2.592059e+02   	3.728165e+01   	2.773503e+04   	7.337807e+06   	107
@@ -132,6 +138,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	6.615698e+03   	6.959563e+02   	1.210673e+06   	8.098082e+09   	183
 0b0b0ce8	7372800        	2.621440e+08   	2.665077e+02   	3.721734e+01   	3.278045e+04   	8.906615e+06   	123
@@ -165,6 +173,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	66355200       	7.077888e+09   	2.793361e+05   	4.545353e+04   	2.039154e+07   	5.846913e+12   	73
 0b0b0ce8	7372800        	2.621440e+08   	1.003329e+04   	9.763114e+02   	3.471519e+06   	3.516056e+10   	346

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	2.515766e+05   	2.096151e+04   	2.515766e+06   	6.373017e+11   	10
 afdd228b	3276800        	0.000000e+00   	7.350482e+04   	4.292777e+03   	9.555626e+05   	7.047802e+10   	13
@@ -65,6 +67,8 @@ cea37d6d	819200         	0.000000e+00   	9.586125e+03   	1.023620e+03   	2.10894
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	6.990473e+04   	4.071360e+03   	1.118476e+06   	7.845196e+10   	16
 afdd228b	3276800        	0.000000e+00   	2.992444e+04   	7.760944e+02   	4.787910e+05   	1.433719e+10   	16
@@ -97,6 +101,8 @@ cea37d6d	819200         	0.000000e+00   	9.620220e+03   	2.335102e+02   	1.05822
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	6.793522e+04   	8.600858e+02   	6.793522e+05   	4.615934e+10   	10
 afdd228b	3276800        	0.000000e+00   	2.989699e+04   	1.490344e+03   	3.587638e+05   	1.075261e+10   	12
@@ -129,6 +135,8 @@ cea37d6d	819200         	0.000000e+00   	9.974140e+03   	1.055336e+03   	1.09715
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	6.962168e+04   	1.952172e+02   	1.322812e+06   	9.209711e+10   	19
 afdd228b	3276800        	0.000000e+00   	3.047853e+04   	4.777511e+01   	4.571780e+05   	1.393415e+10   	15

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	2.127055e+05   	1.216918e+04   	3.190582e+06   	6.808756e+11   	15
 afdd228b	3276800        	0.000000e+00   	6.346686e+04   	7.329654e+02   	6.346686e+05   	4.028580e+10   	10
@@ -65,6 +67,8 @@ cea37d6d	819200         	0.000000e+00   	7.969263e+03   	1.770463e+02   	1.35477
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.656100e+04   	6.943816e+03   	1.471537e+06   	1.281974e+11   	17
 afdd228b	3276800        	0.000000e+00   	3.567215e+04   	3.302464e+03   	3.567215e+05   	1.283409e+10   	10
@@ -97,6 +101,8 @@ cea37d6d	819200         	0.000000e+00   	1.101988e+04   	5.146633e+02   	1.10198
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	3276800        	0.000000e+00   	3.935885e+04   	6.351673e+03   	3.935885e+05   	1.589463e+10   	10
 cea37d6d	819200         	0.000000e+00   	1.194615e+04   	1.359754e+03   	1.194615e+05   	1.445595e+09   	10
@@ -129,6 +135,8 @@ cea37d6d	819200         	0.000000e+00   	1.194615e+04   	1.359754e+03   	1.19461
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.754335e+04   	8.654029e+03   	1.575780e+06   	1.392972e+11   	18
 afdd228b	3276800        	0.000000e+00   	3.542725e+04   	1.501284e+03   	3.542725e+05   	1.257344e+10   	10
@@ -161,6 +169,8 @@ cea37d6d	819200         	0.000000e+00   	1.193774e+04   	1.685032e+03   	1.19377
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.763521e+04   	5.876858e+03   	9.639873e+05   	8.485914e+10   	11
 afdd228b	3276800        	0.000000e+00   	3.909159e+04   	6.650440e+03   	4.300075e+05   	1.729619e+10   	11
@@ -193,6 +203,8 @@ cea37d6d	819200         	0.000000e+00   	1.211577e+04   	1.649480e+03   	1.21157
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.616388e+04   	4.981316e+03   	1.550950e+06   	1.340825e+11   	18
 afdd228b	3276800        	0.000000e+00   	3.647899e+04   	2.965394e+03   	4.377479e+05   	1.607412e+10   	12
@@ -225,6 +237,8 @@ cea37d6d	819200         	0.000000e+00   	1.073272e+04   	1.010096e+02   	1.07327
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.786078e+04   	7.200822e+03   	1.317912e+06   	1.165705e+11   	15
 afdd228b	3276800        	0.000000e+00   	3.795195e+04   	3.399141e+03   	3.795195e+05   	1.451905e+10   	10
@@ -257,6 +271,8 @@ cea37d6d	819200         	0.000000e+00   	1.163527e+04   	1.023060e+03   	1.16352
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	8.814631e+04   	6.725805e+03   	1.498487e+06   	1.328551e+11   	17
 cea37d6d	819200         	0.000000e+00   	1.170806e+04   	1.094676e+03   	1.170806e+05   	1.382770e+09   	10
@@ -289,6 +305,8 @@ afdd228b	3276800        	0.000000e+00   	4.283079e+04   	7.621190e+03   	4.28307
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	9.172766e+04   	1.075608e+04   	1.375915e+06   	1.279449e+11   	15
 cea37d6d	819200         	0.000000e+00   	1.117240e+04   	8.447401e+02   	1.117240e+05   	1.255362e+09   	10

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	3276800        	0.000000e+00   	7.065042e+04   	7.118479e+03   	1.271707e+06   	9.075877e+10   	18
 617e5fe6	7372800        	0.000000e+00   	2.321971e+05   	3.386520e+04   	2.554168e+06   	6.056858e+11   	11
@@ -65,6 +67,8 @@ cea37d6d	819200         	0.000000e+00   	8.644872e+03   	1.175676e+03   	4.58178
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	3276800        	0.000000e+00   	3.469534e+04   	1.243993e+03   	9.714695e+05   	3.374879e+10   	28
 617e5fe6	7372800        	0.000000e+00   	8.533007e+04   	9.757927e+03   	1.194621e+06   	1.032701e+11   	14
@@ -97,6 +101,8 @@ cea37d6d	819200         	0.000000e+00   	1.145973e+04   	6.017234e+02   	1.14597
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	3276800        	0.000000e+00   	3.498011e+04   	2.179531e+03   	6.996022e+05   	2.456717e+10   	20
 617e5fe6	7372800        	0.000000e+00   	8.442764e+04   	6.770170e+03   	1.350842e+06   	1.147818e+11   	16
@@ -129,6 +135,8 @@ cea37d6d	819200         	0.000000e+00   	1.080764e+04   	2.151492e+02   	1.18884
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	3276800        	0.000000e+00   	3.506064e+04   	2.956747e+03   	6.310915e+05   	2.228383e+10   	18
 617e5fe6	7372800        	0.000000e+00   	8.151052e+04   	4.250155e+02   	1.059637e+06   	8.637388e+10   	13

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_11.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	1.778570e+05   	1.735127e+04   	1.778570e+06   	3.193419e+11   	10
 cea37d6d	819200         	0.000000e+00   	5.904224e+03   	6.575598e+02   	5.668055e+05   	3.388055e+09   	96
@@ -66,6 +68,8 @@ afdd228b	3276800        	0.000000e+00   	4.953149e+04   	6.709149e+03   	6.43909
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	5.552387e+04   	5.714037e+03   	1.054954e+06   	5.919546e+10   	19
 cea37d6d	819200         	0.000000e+00   	9.707597e+03   	9.439210e+02   	9.707597e+04   	9.512842e+08   	10
@@ -99,6 +103,8 @@ afdd228b	3276800        	0.000000e+00   	2.633937e+04   	3.608518e+03   	3.95090
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	5.675882e+04   	6.232185e+03   	1.248694e+06   	7.172888e+10   	22
 cea37d6d	819200         	0.000000e+00   	9.541018e+03   	9.285702e+02   	9.541018e+04   	9.189326e+08   	10
@@ -132,6 +138,8 @@ afdd228b	3276800        	0.000000e+00   	2.651477e+04   	2.554649e+03   	3.18177
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	5.624387e+04   	5.549003e+03   	8.436581e+05   	4.791247e+10   	15
 cea37d6d	819200         	0.000000e+00   	9.661577e+03   	7.114114e+02   	9.661577e+04   	9.385217e+08   	10
@@ -165,6 +173,8 @@ afdd228b	3276800        	0.000000e+00   	2.574090e+04   	2.071791e+03   	5.14817
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	7372800        	0.000000e+00   	5.895007e+04   	8.369498e+03   	7.663509e+05   	4.608707e+10   	13
 cea37d6d	819200         	0.000000e+00   	9.910778e+03   	1.200981e+03   	9.910778e+04   	9.966588e+08   	10

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	8.869540e+04   	4.010843e+03   	1.765039e+07   	1.568709e+12   	199
 d39bff17	6553600        	0.000000e+00   	2.736718e+04   	1.452565e+03   	3.886139e+06   	1.066523e+11   	142
@@ -66,6 +68,8 @@ d39bff17	6553600        	0.000000e+00   	2.736718e+04   	1.452565e+03   	3.88613
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.250005e+03   	1.530886e+03   	8.555006e+05   	6.478930e+09   	118
 d39bff17	6553600        	0.000000e+00   	2.060505e+03   	3.149423e+02   	4.265246e+05   	8.993882e+08   	207
@@ -98,6 +102,8 @@ d39bff17	6553600        	0.000000e+00   	2.060505e+03   	3.149423e+02   	4.26524
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.906255e+03   	1.105050e+03   	1.042844e+06   	7.386541e+09   	151
 d39bff17	6553600        	0.000000e+00   	2.044032e+03   	3.248232e+02   	3.863220e+05   	8.095958e+08   	189
@@ -130,6 +136,8 @@ d39bff17	6553600        	0.000000e+00   	2.044032e+03   	3.248232e+02   	3.86322
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.859160e+03   	1.144150e+03   	1.008296e+06   	7.108501e+09   	147
 d39bff17	6553600        	0.000000e+00   	2.022724e+03   	3.006626e+02   	4.308402e+05   	8.907256e+08   	213

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.925318e+03   	8.376976e+02   	5.748014e+05   	4.038926e+09   	83
 d39bff17	6553600        	0.000000e+00   	2.271937e+03   	3.454949e+02   	2.340095e+05   	5.439496e+08   	103
@@ -65,6 +67,8 @@ d39bff17	6553600        	0.000000e+00   	2.271937e+03   	3.454949e+02   	2.34009
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.291615e+03   	1.041939e+03   	4.593717e+05   	3.417957e+09   	63
 d39bff17	6553600        	0.000000e+00   	2.282720e+03   	4.096195e+02   	3.903452e+05   	9.197407e+08   	171
@@ -97,6 +101,8 @@ d39bff17	6553600        	0.000000e+00   	2.282720e+03   	4.096195e+02   	3.90345
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.177388e+03   	9.455873e+02   	3.947563e+05   	2.882497e+09   	55
 d39bff17	6553600        	0.000000e+00   	2.335362e+03   	3.317057e+02   	2.825788e+05   	6.732374e+08   	121
@@ -129,6 +135,8 @@ d39bff17	6553600        	0.000000e+00   	2.335362e+03   	3.317057e+02   	2.82578
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	9.210227e+04   	5.563000e+02   	1.252591e+07   	1.153707e+12   	136
 d39bff17	6553600        	0.000000e+00   	2.809162e+04   	4.267578e+02   	1.573131e+06   	4.420199e+10   	56
@@ -161,6 +169,8 @@ d39bff17	6553600        	0.000000e+00   	2.809162e+04   	4.267578e+02   	1.57313
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.047943e+03   	9.923280e+02   	4.017327e+05   	2.887518e+09   	57
 d39bff17	6553600        	0.000000e+00   	2.358363e+03   	2.904964e+02   	2.381946e+05   	5.702726e+08   	101
@@ -193,6 +203,8 @@ d39bff17	6553600        	0.000000e+00   	2.358363e+03   	2.904964e+02   	2.38194
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.125894e+03   	1.170430e+03   	6.769599e+05   	4.954085e+09   	95
 d39bff17	6553600        	0.000000e+00   	2.913435e+03   	7.837592e+02   	2.651226e+05   	8.283167e+08   	91
@@ -225,6 +237,8 @@ d39bff17	6553600        	0.000000e+00   	2.913435e+03   	7.837592e+02   	2.65122
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.906666e+03   	1.069281e+03   	3.177066e+05   	2.246888e+09   	46
 d39bff17	6553600        	0.000000e+00   	2.331985e+03   	3.108312e+02   	2.914982e+05   	6.918465e+08   	125
@@ -257,6 +271,8 @@ d39bff17	6553600        	0.000000e+00   	2.331985e+03   	3.108312e+02   	2.91498
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.634969e+03   	1.278868e+03   	4.122883e+05   	3.236126e+09   	54
 d39bff17	6553600        	0.000000e+00   	2.361692e+03   	2.763159e+02   	1.747652e+05   	4.183915e+08   	74
@@ -289,6 +305,8 @@ d39bff17	6553600        	0.000000e+00   	2.361692e+03   	2.763159e+02   	1.74765
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	7.011366e+03   	8.280915e+02   	6.871138e+05   	4.884809e+09   	98
 d39bff17	6553600        	0.000000e+00   	2.294721e+03   	3.366230e+02   	4.451759e+05   	1.043537e+09   	194

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.758103e+04   	7.024890e+02   	7.033162e+06   	1.941076e+11   	255
 ff82dda0	14745600       	0.000000e+00   	9.143755e+04   	1.725750e+03   	1.234407e+07   	1.129114e+12   	135
@@ -65,6 +67,8 @@ ff82dda0	14745600       	0.000000e+00   	9.143755e+04   	1.725750e+03   	1.23440
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.131008e+03   	3.294125e+02   	6.755295e+05   	1.473957e+09   	317
 ff82dda0	14745600       	0.000000e+00   	7.209283e+03   	1.090675e+03   	1.564414e+06   	1.153644e+10   	217
@@ -97,6 +101,8 @@ ff82dda0	14745600       	0.000000e+00   	7.209283e+03   	1.090675e+03   	1.56441
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.163459e+03   	3.374464e+02   	5.538454e+05   	1.227372e+09   	256
 ff82dda0	14745600       	0.000000e+00   	6.895326e+03   	1.111793e+03   	1.234263e+06   	8.731908e+09   	179
@@ -129,6 +135,8 @@ ff82dda0	14745600       	0.000000e+00   	6.895326e+03   	1.111793e+03   	1.23426
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.119354e+03   	3.243594e+02   	5.912998e+05   	1.282527e+09   	279
 ff82dda0	14745600       	0.000000e+00   	6.998019e+03   	1.239620e+03   	1.070697e+06   	7.727865e+09   	153

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_12.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	3.402547e+04   	6.005726e+03   	7.111323e+06   	2.495045e+11   	209
 2c1922b7	1638400        	0.000000e+00   	6.443940e+03   	1.476966e+03   	1.610985e+05   	1.092645e+09   	25
@@ -66,6 +68,8 @@ d39bff17	6553600        	0.000000e+00   	1.041247e+04   	1.992240e+03   	3.09250
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	3.238292e+03   	4.902889e+02   	6.768030e+05   	2.241926e+09   	209
 2c1922b7	1638400        	0.000000e+00   	5.889641e+02   	1.063542e+02   	1.272162e+05   	7.736903e+07   	216
@@ -99,6 +103,8 @@ d39bff17	6553600        	0.000000e+00   	1.349909e+03   	1.936514e+02   	2.94280
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	3.179744e+03   	4.016259e+02   	6.804652e+05   	2.198224e+09   	214
 2c1922b7	1638400        	0.000000e+00   	5.796961e+02   	1.048897e+02   	1.199971e+05   	7.183924e+07   	207
@@ -132,6 +138,8 @@ d39bff17	6553600        	0.000000e+00   	1.343917e+03   	2.039127e+02   	2.24434
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	3.362936e+03   	5.457359e+02   	6.524096e+05   	2.251791e+09   	194
 2c1922b7	1638400        	0.000000e+00   	5.405600e+02   	9.344101e+01   	1.513568e+05   	8.426217e+07   	280
@@ -165,6 +173,8 @@ d39bff17	6553600        	0.000000e+00   	1.275634e+03   	1.830051e+02   	2.27062
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	3.306190e+03   	4.921154e+02   	7.009122e+05   	2.368690e+09   	212
 2c1922b7	1638400        	0.000000e+00   	5.641572e+02   	1.012475e+02   	1.376544e+05   	8.015997e+07   	244

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	8.795690e+04   	4.598673e+03   	1.715160e+07   	1.512725e+12   	195
 d39bff17	6553600        	0.000000e+00   	2.744119e+04   	1.740624e+03   	4.390591e+06   	1.209678e+11   	160
@@ -66,6 +68,8 @@ d39bff17	6553600        	0.000000e+00   	2.744119e+04   	1.740624e+03   	4.39059
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.847320e+03   	1.168001e+03   	8.285257e+05   	5.838253e+09   	121
 d39bff17	6553600        	0.000000e+00   	2.123746e+03   	3.153004e+02   	4.226254e+05   	9.173322e+08   	199
@@ -98,6 +102,8 @@ d39bff17	6553600        	0.000000e+00   	2.123746e+03   	3.153004e+02   	4.22625
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.816836e+03   	1.179433e+03   	1.172496e+06   	8.231973e+09   	172
 d39bff17	6553600        	0.000000e+00   	2.055421e+03   	3.154533e+02   	3.864192e+05   	8.129623e+08   	188
@@ -130,6 +136,8 @@ d39bff17	6553600        	0.000000e+00   	2.055421e+03   	3.154533e+02   	3.86419
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.940618e+03   	1.147691e+03   	1.006390e+06   	7.175959e+09   	145
 d39bff17	6553600        	0.000000e+00   	2.093041e+03   	3.377347e+02   	3.851195e+05   	8.270585e+08   	184

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.700359e+03   	1.036459e+03   	3.886208e+05   	2.666205e+09   	58
 d39bff17	6553600        	0.000000e+00   	2.067623e+03   	3.658691e+02   	3.825102e+05   	8.156510e+08   	185
@@ -65,6 +67,8 @@ d39bff17	6553600        	0.000000e+00   	2.067623e+03   	3.658691e+02   	3.82510
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.634729e+03   	1.380283e+03   	4.777005e+05   	3.306586e+09   	72
 d39bff17	6553600        	0.000000e+00   	2.102108e+03   	3.770829e+02   	2.690698e+05   	5.838144e+08   	128
@@ -97,6 +101,8 @@ d39bff17	6553600        	0.000000e+00   	2.102108e+03   	3.770829e+02   	2.69069
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	5.973111e+03   	7.873858e+02   	4.420102e+05   	2.686054e+09   	74
 d39bff17	6553600        	0.000000e+00   	2.088129e+03   	3.411148e+02   	2.129891e+05   	4.566174e+08   	102
@@ -129,6 +135,8 @@ d39bff17	6553600        	0.000000e+00   	2.088129e+03   	3.411148e+02   	2.12989
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	5.813439e+03   	5.835403e+02   	2.441645e+05   	1.433737e+09   	42
 d39bff17	6553600        	0.000000e+00   	2.170079e+03   	5.032568e+02   	7.161259e+04   	1.637628e+08   	33
@@ -161,6 +169,8 @@ d39bff17	6553600        	0.000000e+00   	2.170079e+03   	5.032568e+02   	7.16125
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	9.133611e+04   	7.141260e+02   	1.032098e+07   	9.427358e+11   	113
 d39bff17	6553600        	0.000000e+00   	2.797330e+04   	6.068477e+02   	1.482585e+06   	4.149232e+10   	53
@@ -193,6 +203,8 @@ d39bff17	6553600        	0.000000e+00   	2.797330e+04   	6.068477e+02   	1.48258
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.609495e+03   	1.035460e+03   	4.296172e+05   	2.909244e+09   	65
 d39bff17	6553600        	0.000000e+00   	2.129873e+03   	3.868465e+02   	3.407797e+05   	7.497615e+08   	160
@@ -225,6 +237,8 @@ d39bff17	6553600        	0.000000e+00   	2.129873e+03   	3.868465e+02   	3.40779
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	5.938773e+03   	5.045720e+02   	2.078570e+05   	1.243326e+09   	35
 d39bff17	6553600        	0.000000e+00   	2.180034e+03   	4.239424e+02   	1.286220e+05   	2.910041e+08   	59
@@ -257,6 +271,8 @@ d39bff17	6553600        	0.000000e+00   	2.180034e+03   	4.239424e+02   	1.28622
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.467618e+03   	9.651621e+02   	2.910428e+05   	1.924273e+09   	45
 d39bff17	6553600        	0.000000e+00   	2.057931e+03   	3.333471e+02   	1.872717e+05   	3.955042e+08   	91
@@ -289,6 +305,8 @@ d39bff17	6553600        	0.000000e+00   	2.057931e+03   	3.333471e+02   	1.87271
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	6.429538e+03   	9.929716e+02   	5.015040e+05   	3.301346e+09   	78
 d39bff17	6553600        	0.000000e+00   	2.056349e+03   	3.356881e+02   	4.565094e+05   	9.637588e+08   	222

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.762618e+04   	9.983022e+02   	6.575032e+06   	1.818802e+11   	238
 ff82dda0	14745600       	0.000000e+00   	9.068591e+04   	1.985325e+03   	1.324014e+07   	1.201270e+12   	146
@@ -65,6 +67,8 @@ ff82dda0	14745600       	0.000000e+00   	9.068591e+04   	1.985325e+03   	1.32401
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.106536e+03   	3.670134e+02   	5.856171e+05   	1.271070e+09   	278
 ff82dda0	14745600       	0.000000e+00   	7.299043e+03   	1.073594e+03   	1.284632e+06   	9.579441e+09   	176
@@ -97,6 +101,8 @@ ff82dda0	14745600       	0.000000e+00   	7.299043e+03   	1.073594e+03   	1.28463
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.072463e+03   	3.421274e+02   	6.590431e+05   	1.403064e+09   	318
 ff82dda0	14745600       	0.000000e+00   	6.791353e+03   	1.183637e+03   	1.195278e+06   	8.364131e+09   	176
@@ -129,6 +135,8 @@ ff82dda0	14745600       	0.000000e+00   	6.791353e+03   	1.183637e+03   	1.19527
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	6553600        	0.000000e+00   	2.129169e+03   	3.327197e+02   	5.024838e+05   	1.095999e+09   	236
 ff82dda0	14745600       	0.000000e+00   	6.700018e+03   	1.125184e+03   	1.139003e+06   	7.846568e+09   	170

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_21.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	4.935132e+04   	1.056942e+04   	1.875350e+06   	9.679609e+10   	38
 2c1922b7	1638400        	0.000000e+00   	1.386830e+03   	2.636504e+02   	1.256468e+06   	1.805486e+09   	906
@@ -66,6 +68,8 @@ d39bff17	6553600        	0.000000e+00   	1.762919e+04   	3.396463e+03   	6.17021
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	2.580226e+03   	3.710017e+02   	5.495882e+05   	1.447380e+09   	213
 2c1922b7	1638400        	0.000000e+00   	3.441326e+02   	6.695097e+01   	4.267244e+04   	1.524080e+07   	124
@@ -99,6 +103,8 @@ d39bff17	6553600        	0.000000e+00   	9.089165e+02   	1.570596e+02   	1.59060
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	2.485190e+03   	3.288259e+02   	6.188122e+05   	1.564789e+09   	249
 2c1922b7	1638400        	0.000000e+00   	3.565977e+02   	7.541526e+01   	3.672956e+04   	1.368348e+07   	103
@@ -132,6 +138,8 @@ d39bff17	6553600        	0.000000e+00   	9.441529e+02   	1.527244e+02   	2.39814
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	2.615067e+03   	4.428563e+02   	5.334737e+05   	1.435078e+09   	204
 2c1922b7	1638400        	0.000000e+00   	3.667814e+02   	6.561130e+01   	3.227676e+04   	1.221734e+07   	88
@@ -165,6 +173,8 @@ d39bff17	6553600        	0.000000e+00   	9.018562e+02   	1.587421e+02   	1.47002
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 ff82dda0	14745600       	0.000000e+00   	2.480709e+03   	3.749281e+02   	4.514890e+05   	1.145597e+09   	182
 2c1922b7	1638400        	0.000000e+00   	3.718262e+02   	7.249781e+01   	2.342505e+04   	9.041172e+06   	63

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.687897e+05   	8.023245e+03   	3.110794e+08   	5.262564e+13   	1843
 f0ac7beb	9830400        	0.000000e+00   	5.125521e+04   	2.656019e+03   	7.375625e+07   	3.790543e+12   	1439
@@ -66,6 +68,8 @@ d46431bb	2457600        	0.000000e+00   	6.821106e+03   	3.878220e+02   	1.10092
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.852261e+03   	2.067645e+02   	2.783335e+07   	1.630914e+11   	4756
 f0ac7beb	9830400        	0.000000e+00   	1.831142e+03   	6.447275e+01   	9.274735e+06   	1.700441e+10   	5065
@@ -98,6 +102,8 @@ d46431bb	2457600        	0.000000e+00   	2.556618e+02   	1.838263e+01   	1.25223
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.846675e+03   	2.141855e+02   	2.732736e+07   	1.599886e+11   	4674
 f0ac7beb	9830400        	0.000000e+00   	1.834114e+03   	5.380375e+01   	9.566740e+06   	1.756159e+10   	5216
@@ -130,6 +136,8 @@ d46431bb	2457600        	0.000000e+00   	2.610266e+02   	2.020042e+01   	1.24640
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.840318e+03   	1.756302e+02   	2.921911e+07   	1.708032e+11   	5003
 f0ac7beb	9830400        	0.000000e+00   	1.840833e+03   	4.879997e+01   	9.542881e+06   	1.757920e+10   	5184

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.901996e+03   	2.140574e+02   	2.574451e+07   	1.521439e+11   	4362
 f0ac7beb	9830400        	0.000000e+00   	1.855425e+03   	1.035707e+02   	7.464374e+06   	1.389274e+10   	4023
@@ -65,6 +67,8 @@ d46431bb	2457600        	0.000000e+00   	2.667843e+02   	3.133790e+01   	9.32144
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.924812e+03   	2.030546e+02   	2.715934e+07   	1.611030e+11   	4584
 f0ac7beb	9830400        	0.000000e+00   	1.850857e+03   	1.138114e+02   	6.774137e+06   	1.258537e+10   	3660
@@ -97,6 +101,8 @@ d46431bb	2457600        	0.000000e+00   	2.743267e+02   	3.237528e+01   	7.90335
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.905959e+03   	2.324106e+02   	2.885061e+07   	1.706544e+11   	4885
 f0ac7beb	9830400        	0.000000e+00   	1.844033e+03   	9.904039e+01   	7.516278e+06   	1.390024e+10   	4076
@@ -129,6 +135,8 @@ d46431bb	2457600        	0.000000e+00   	2.662813e+02   	2.651200e+01   	1.09814
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.905860e+03   	2.088868e+02   	2.619840e+07   	1.549176e+11   	4436
 f0ac7beb	9830400        	0.000000e+00   	1.843182e+03   	9.714398e+01   	7.671323e+06   	1.417892e+10   	4162
@@ -161,6 +169,8 @@ d46431bb	2457600        	0.000000e+00   	2.666213e+02   	3.154593e+01   	1.00382
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.916743e+03   	2.291447e+02   	2.686793e+07   	1.592091e+11   	4541
 f0ac7beb	9830400        	0.000000e+00   	1.837574e+03   	9.255327e+01   	7.197777e+06   	1.326000e+10   	3917
@@ -193,6 +203,8 @@ d46431bb	2457600        	0.000000e+00   	2.645367e+02   	2.904285e+01   	1.07825
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.776444e+05   	1.603881e+03   	1.085407e+08   	1.928322e+13   	611
 f0ac7beb	9830400        	0.000000e+00   	5.438487e+04   	1.553469e+03   	1.598915e+07   	8.702776e+11   	294
@@ -225,6 +237,8 @@ d46431bb	2457600        	0.000000e+00   	6.892168e+03   	1.879454e+02   	4.21800
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.908798e+03   	2.191022e+02   	2.432652e+07   	1.439381e+11   	4117
 f0ac7beb	9830400        	0.000000e+00   	1.870298e+03   	1.158137e+02   	6.306645e+06   	1.184053e+10   	3372
@@ -256,6 +270,8 @@ d46431bb	2457600        	0.000000e+00   	2.622005e+02   	3.221213e+01   	7.63003
 # sumlnx	sumlnx2		sumlny		sumlnxlny	alpha		beta		n	minx		maxx
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
+# not multiple-regression-base
+0
 nan            	nan            	nan            
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.908890e+03   	2.133901e+02   	2.731089e+07   	1.615875e+11   	4622
@@ -289,6 +305,8 @@ d46431bb	2457600        	0.000000e+00   	2.672063e+02   	3.249622e+01   	7.26266
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	5.908429e+03   	2.149126e+02   	2.371053e+07   	1.402773e+11   	4013
 f0ac7beb	9830400        	0.000000e+00   	1.855601e+03   	1.161756e+02   	6.509447e+06   	1.212628e+10   	3508

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	9830400        	0.000000e+00   	5.319005e+04   	1.072845e+03   	1.074439e+08   	5.717271e+12   	2020
 24c84a50	22118400       	0.000000e+00   	1.747556e+05   	3.288616e+03   	2.457064e+08   	4.295378e+13   	1406
@@ -65,6 +67,8 @@ d46431bb	2457600        	0.000000e+00   	6.731248e+03   	2.017842e+02   	1.75887
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	9830400        	0.000000e+00   	1.857771e+03   	5.953793e+01   	1.442559e+07   	2.682697e+10   	7765
 24c84a50	22118400       	0.000000e+00   	5.825821e+03   	1.536397e+02   	3.023019e+07   	1.762382e+11   	5189
@@ -97,6 +101,8 @@ d46431bb	2457600        	0.000000e+00   	2.626388e+02   	2.130047e+01   	1.89126
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	9830400        	0.000000e+00   	1.841710e+03   	6.898710e+01   	1.448873e+07   	2.672149e+10   	7867
 24c84a50	22118400       	0.000000e+00   	5.866678e+03   	1.842980e+02   	2.977339e+07   	1.748433e+11   	5075
@@ -129,6 +135,8 @@ d46431bb	2457600        	0.000000e+00   	2.614108e+02   	2.029949e+01   	1.93653
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	9830400        	0.000000e+00   	1.853277e+03   	6.983878e+01   	1.439996e+07   	2.672502e+10   	7770
 24c84a50	22118400       	0.000000e+00   	5.858635e+03   	1.761006e+02   	3.008995e+07   	1.764453e+11   	5136

tools/perfmodels/sampling/codelets/44/starpu_dlu_lu_model_22.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.754881e+03   	1.567907e+02   	8.516439e+06   	1.506464e+10   	4853
 d46431bb	2457600        	0.000000e+00   	9.227862e+01   	1.339393e+01   	6.585925e+05   	6.205436e+07   	7137
@@ -66,6 +68,8 @@ f0ac7beb	9830400        	0.000000e+00   	5.560171e+02   	4.481480e+01   	2.45203
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.725012e+03   	1.556789e+02   	8.775134e+06   	1.526049e+10   	5087
 d46431bb	2457600        	0.000000e+00   	9.099306e+01   	1.290433e+01   	7.117477e+05   	6.606663e+07   	7822
@@ -99,6 +103,8 @@ f0ac7beb	9830400        	0.000000e+00   	5.497124e+02   	4.364744e+01   	2.30824
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.724207e+03   	1.559700e+02   	8.529651e+06   	1.482723e+10   	4947
 d46431bb	2457600        	0.000000e+00   	9.395983e+01   	1.410875e+01   	5.884704e+05   	5.653928e+07   	6263
@@ -132,6 +138,8 @@ f0ac7beb	9830400        	0.000000e+00   	5.531811e+02   	3.935565e+01   	3.26487
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	6.659236e+04   	1.142300e+04   	1.507651e+08   	1.033522e+13   	2264
 d46431bb	2457600        	0.000000e+00   	3.623237e+03   	8.721045e+02   	1.668138e+07   	6.394225e+10   	4604
@@ -165,6 +173,8 @@ f0ac7beb	9830400        	0.000000e+00   	2.355764e+04   	4.984182e+03   	4.40527
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 24c84a50	22118400       	0.000000e+00   	1.746747e+03   	1.539679e+02   	8.628932e+06   	1.518967e+10   	4940
 d46431bb	2457600        	0.000000e+00   	9.539483e+01   	1.447066e+01   	7.032507e+05   	6.863017e+07   	7372

tools/perfmodels/sampling/codelets/44/starpu_sgemm_gemm.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	3.328725e+05   	1.185902e+04   	2.563119e+07   	8.542747e+12   	77
 0b0b0ce8	3686400        	2.621440e+08   	1.421718e+04   	3.409134e+02   	9.098993e+05   	1.294364e+10   	64
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	1.123499e+04   	6.785566e+01   	1.190909e+06   	1.338033e+10   	106
 0b0b0ce8	3686400        	2.621440e+08   	6.738679e+02   	4.393713e+01   	6.873452e+04   	4.651489e+07   	102
@@ -98,6 +102,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	1.123077e+04   	9.504466e+01   	1.179231e+06   	1.324463e+10   	105
 0b0b0ce8	3686400        	2.621440e+08   	6.672056e+02   	3.376608e+01   	6.805497e+04   	4.552295e+07   	102
@@ -130,6 +136,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	1.124174e+04   	2.629960e+01   	1.180383e+06   	1.326963e+10   	105
 0b0b0ce8	3686400        	2.621440e+08   	6.002221e+02   	2.259043e+01   	6.242310e+04   	3.752080e+07   	104

tools/perfmodels/sampling/codelets/44/starpu_sgemm_gemm.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.801013e+02   	7.013561e+01   	4.760709e+04   	3.272198e+07   	70
 4220e23d	14745600       	2.097152e+09   	5.623635e+03   	5.419920e+02   	4.442672e+05   	2.521603e+09   	79
@@ -65,6 +67,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.717051e+02   	6.137607e+01   	4.500424e+04   	3.048197e+07   	67
 4220e23d	14745600       	2.097152e+09   	5.648275e+03   	4.677390e+02   	4.575103e+05   	2.601865e+09   	81
@@ -97,6 +101,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.265559e+02   	5.536840e+01   	4.824481e+04   	3.046412e+07   	77
 4220e23d	14745600       	2.097152e+09   	5.631203e+03   	4.767455e+02   	4.561275e+05   	2.586957e+09   	81
@@ -129,6 +135,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.780899e+02   	4.241206e+01   	4.543202e+04   	3.092751e+07   	67
 4220e23d	14745600       	2.097152e+09   	5.857201e+03   	8.346836e+02   	4.744333e+05   	2.835284e+09   	81
@@ -161,6 +169,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.759139e+02   	4.092799e+01   	4.190666e+04   	2.842915e+07   	62
 4220e23d	14745600       	2.097152e+09   	5.527477e+03   	2.733928e+02   	4.421982e+05   	2.450220e+09   	80
@@ -193,6 +203,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.339465e+02   	7.125158e+01   	4.184047e+04   	2.685969e+07   	66
 4220e23d	14745600       	2.097152e+09   	5.624130e+03   	4.755864e+02   	4.668028e+05   	2.644133e+09   	83
@@ -225,6 +237,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.389750e+02   	8.615382e+01   	4.728415e+04   	3.076266e+07   	74
 4220e23d	14745600       	2.097152e+09   	5.648331e+03   	5.220897e+02   	4.631632e+05   	2.638450e+09   	82
@@ -257,6 +271,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.386625e+02   	8.094896e+01   	4.342905e+04   	2.818209e+07   	68
 4220e23d	14745600       	2.097152e+09   	5.638657e+03   	3.709019e+02   	4.454539e+05   	2.522630e+09   	79
@@ -289,6 +305,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	1.414338e+04   	6.441210e+02   	3.535844e+05   	5.011251e+09   	25
 4220e23d	14745600       	2.097152e+09   	1.091117e+05   	2.701159e+03   	3.382462e+06   	3.692924e+11   	31

tools/perfmodels/sampling/codelets/44/starpu_sgemm_gemm.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	1.352609e+04   	3.616534e+02   	1.082087e+06   	1.464687e+10   	80
 492beed5	33177600       	7.077888e+09   	3.550396e+05   	8.949994e+03   	2.840317e+07   	1.009066e+13   	80
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.589631e+02   	8.406511e+00   	6.787320e+04   	4.473321e+07   	103
 492beed5	33177600       	7.077888e+09   	1.151398e+04   	9.050114e+01   	1.220482e+06   	1.405348e+10   	106
@@ -98,6 +102,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.663664e+02   	8.616537e+01   	6.796937e+04   	4.604980e+07   	102
 492beed5	33177600       	7.077888e+09   	1.150036e+04   	8.404527e+01   	1.207538e+06   	1.388786e+10   	105
@@ -130,6 +136,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0b0b0ce8	3686400        	2.621440e+08   	6.181769e+02   	5.174143e+01   	6.181769e+04   	3.848198e+07   	100
 492beed5	33177600       	7.077888e+09   	1.148096e+04   	7.289415e+01   	1.205501e+06   	1.384086e+10   	105

tools/perfmodels/sampling/codelets/44/starpu_sgemm_gemm.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	2.745578e+03   	3.064191e+02   	6.616844e+05   	1.839335e+09   	241
 0b0b0ce8	3686400        	2.621440e+08   	1.582927e+02   	3.333442e+01   	3.434951e+04   	5.678402e+06   	217
@@ -66,6 +68,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	2.686428e+03   	2.002215e+02   	6.716071e+05   	1.814247e+09   	250
 0b0b0ce8	3686400        	2.621440e+08   	1.630480e+02   	3.438768e+01   	3.097912e+04   	5.275762e+06   	190
@@ -99,6 +103,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	2.791098e+03   	3.147711e+02   	6.503258e+05   	1.838209e+09   	233
 0b0b0ce8	3686400        	2.621440e+08   	1.624855e+02   	3.298013e+01   	2.940987e+04   	4.975550e+06   	181
@@ -132,6 +138,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	2.754203e+03   	2.682327e+02   	6.830422e+05   	1.899080e+09   	248
 0b0b0ce8	3686400        	2.621440e+08   	1.622246e+02   	3.553894e+01   	3.714942e+04   	6.315779e+06   	229
@@ -165,6 +173,8 @@ nan            	nan            	nan
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 492beed5	33177600       	7.077888e+09   	1.712078e+05   	4.163047e+04   	2.773567e+07   	5.029326e+12   	162
 0b0b0ce8	3686400        	2.621440e+08   	6.441655e+03   	1.152866e+03   	3.220827e+05   	2.141201e+09   	50

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	4.182946e+04   	4.195402e+03   	1.171225e+06   	4.948453e+10   	28
 617e5fe6	3686400        	0.000000e+00   	1.431791e+05   	1.961610e+04   	1.431791e+06   	2.088506e+11   	10
@@ -65,6 +67,8 @@ cea37d6d	409600         	0.000000e+00   	4.839229e+03   	3.061560e+02   	1.25820
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.565619e+04   	2.729977e+03   	4.618114e+05   	1.198247e+10   	18
 617e5fe6	3686400        	0.000000e+00   	5.517976e+04   	5.023576e+03   	8.828762e+05   	4.912068e+10   	16
@@ -97,6 +101,8 @@ cea37d6d	409600         	0.000000e+00   	9.325377e+03   	4.741281e+02   	9.32537
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.512124e+04   	2.223761e+03   	4.773036e+05   	1.208442e+10   	19
 617e5fe6	3686400        	0.000000e+00   	5.116041e+04   	1.272422e+03   	7.674062e+05   	3.928511e+10   	15
@@ -129,6 +135,8 @@ cea37d6d	409600         	0.000000e+00   	9.353760e+03   	7.152342e+02   	9.35376
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.814234e+04   	3.880171e+03   	5.065622e+05   	1.452685e+10   	18
 617e5fe6	3686400        	0.000000e+00   	5.467956e+04   	6.741916e+03   	8.201934e+05   	4.552961e+10   	15

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	0.000000e+00   	4.307978e+03   	6.474305e+01   	1.249314e+05   	5.383232e+08   	29
 afdd228b	1638400        	0.000000e+00   	3.550524e+04   	4.451382e+02   	3.550524e+05   	1.260821e+10   	10
@@ -65,6 +67,8 @@ afdd228b	1638400        	0.000000e+00   	3.550524e+04   	4.451382e+02   	3.55052
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	0.000000e+00   	1.140547e+04   	1.799023e+03   	1.140547e+05   	1.333212e+09   	10
 afdd228b	1638400        	0.000000e+00   	2.728447e+04   	8.307498e+02   	2.728447e+05   	7.451326e+09   	10
@@ -97,6 +101,8 @@ afdd228b	1638400        	0.000000e+00   	2.728447e+04   	8.307498e+02   	2.72844
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	3.084154e+04   	4.741973e+03   	3.084154e+05   	9.736872e+09   	10
 cea37d6d	409600         	0.000000e+00   	1.194801e+04   	1.916839e+03   	1.194801e+05   	1.464291e+09   	10
@@ -129,6 +135,8 @@ cea37d6d	409600         	0.000000e+00   	1.194801e+04   	1.916839e+03   	1.19480
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	0.000000e+00   	7.169178e+04   	1.134864e+04   	7.886096e+05   	5.795353e+10   	11
 cea37d6d	409600         	0.000000e+00   	1.144166e+04   	1.161786e+03   	1.144166e+05   	1.322613e+09   	10
@@ -161,6 +169,8 @@ afdd228b	1638400        	0.000000e+00   	2.872444e+04   	2.010264e+03   	3.15968
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	0.000000e+00   	1.150326e+04   	1.434617e+03   	1.150326e+05   	1.343832e+09   	10
 afdd228b	1638400        	0.000000e+00   	3.088151e+04   	4.858348e+03   	3.088151e+05   	9.772711e+09   	10
@@ -193,6 +203,8 @@ afdd228b	1638400        	0.000000e+00   	3.088151e+04   	4.858348e+03   	3.08815
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 617e5fe6	3686400        	0.000000e+00   	5.751510e+04   	2.006299e+03   	6.901812e+05   	3.974415e+10   	12
 cea37d6d	409600         	0.000000e+00   	1.125363e+04   	1.219431e+03   	1.125363e+05   	1.281312e+09   	10
@@ -225,6 +237,8 @@ afdd228b	1638400        	0.000000e+00   	3.238968e+04   	5.459084e+03   	3.23896
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.926764e+04   	3.325362e+03   	3.219440e+05   	9.544181e+09   	11
 cea37d6d	409600         	0.000000e+00   	1.088648e+04   	1.129883e+03   	1.088648e+05   	1.197920e+09   	10
@@ -257,6 +271,8 @@ cea37d6d	409600         	0.000000e+00   	1.088648e+04   	1.129883e+03   	1.08864
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.775893e+04   	1.476662e+03   	3.331071e+05   	9.272862e+09   	12
 cea37d6d	409600         	0.000000e+00   	1.026126e+04   	8.160679e+01   	1.026126e+05   	1.053001e+09   	10
@@ -289,6 +305,8 @@ cea37d6d	409600         	0.000000e+00   	1.026126e+04   	8.160679e+01   	1.02612
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	0.000000e+00   	1.022286e+04   	3.601879e+01   	1.022286e+05   	1.045081e+09   	10
 afdd228b	1638400        	0.000000e+00   	2.891317e+04   	4.592264e+03   	2.891317e+05   	8.570604e+09   	10

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	3.789658e+04   	4.182352e+03   	1.250587e+06   	4.797021e+10   	33
 617e5fe6	3686400        	0.000000e+00   	1.286436e+05   	1.271269e+04   	2.958803e+06   	3.843483e+11   	23
@@ -65,6 +67,8 @@ cea37d6d	409600         	0.000000e+00   	4.236597e+03   	2.366692e+02   	2.37249
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.864580e+04   	3.233071e+03   	5.156243e+05   	1.495862e+10   	18
 617e5fe6	3686400        	0.000000e+00   	5.948740e+04   	4.910517e+03   	1.070773e+06   	6.413154e+10   	18
@@ -97,6 +101,8 @@ cea37d6d	409600         	0.000000e+00   	1.060245e+04   	4.247968e+02   	1.06024
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	3.046163e+04   	4.754796e+03   	5.483094e+05   	1.710934e+10   	18
 617e5fe6	3686400        	0.000000e+00   	5.865963e+04   	4.672589e+03   	1.349171e+06   	7.964405e+10   	23
@@ -129,6 +135,8 @@ cea37d6d	409600         	0.000000e+00   	1.042618e+04   	1.817032e+02   	1.04261
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 afdd228b	1638400        	0.000000e+00   	2.939722e+04   	4.040622e+03   	4.409582e+05   	1.320784e+10   	15
 617e5fe6	3686400        	0.000000e+00   	5.704610e+04   	3.429433e+03   	1.255014e+06   	7.185241e+10   	22

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	0.000000e+00   	4.111343e+05   	7.639666e+04   	4.111343e+06   	1.748679e+12   	10
 afdd228b	1638400        	0.000000e+00   	2.923093e+04   	1.278718e+03   	5.553877e+05   	1.626557e+10   	19
@@ -66,6 +68,8 @@ cea37d6d	409600         	0.000000e+00   	4.037068e+03   	3.335771e+02   	2.90668
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 cea37d6d	409600         	0.000000e+00   	9.866251e+03   	7.665217e+02   	9.866251e+04   	9.793047e+08   	10
 afdd228b	1638400        	0.000000e+00   	2.088164e+04   	1.502169e+03   	4.176328e+05   	8.765989e+09   	20
@@ -99,6 +103,8 @@ afdd228b	1638400        	0.000000e+00   	2.088164e+04   	1.502169e+03   	4.17632
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	0.000000e+00   	9.434448e+04   	6.197321e+03   	2.075578e+06   	1.966643e+11   	22
 afdd228b	1638400        	0.000000e+00   	2.242688e+04   	2.707726e+03   	3.139763e+05   	7.144153e+09   	14
@@ -132,6 +138,8 @@ cea37d6d	409600         	0.000000e+00   	9.238189e+03   	1.713378e+02   	9.23818
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	0.000000e+00   	9.395404e+04   	4.337001e+03   	1.973035e+06   	1.857696e+11   	21
 afdd228b	1638400        	0.000000e+00   	2.096495e+04   	7.732458e+02   	3.773690e+05   	7.922284e+09   	18
@@ -165,6 +173,8 @@ cea37d6d	409600         	0.000000e+00   	9.471831e+03   	5.475075e+02   	9.47183
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 25ebb669	8294400        	0.000000e+00   	9.896522e+04   	1.438963e+04   	1.187583e+06   	1.200141e+11   	12
 afdd228b	1638400        	0.000000e+00   	2.172039e+04   	1.567348e+03   	2.823650e+05   	6.165013e+09   	13

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.416946e+04   	8.998511e+02   	5.341885e+06   	7.599687e+10   	377
 ff82dda0	7372800        	0.000000e+00   	4.394377e+04   	1.700468e+03   	1.138144e+07   	5.008920e+11   	259
@@ -66,6 +68,8 @@ ff82dda0	7372800        	0.000000e+00   	4.394377e+04   	1.700468e+03   	1.13814
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.676312e+03   	2.039650e+02   	4.549731e+05   	1.224722e+09   	170
 ff82dda0	7372800        	0.000000e+00   	6.450199e+03   	3.193507e+02   	5.482669e+05   	3.545099e+09   	85
@@ -98,6 +102,8 @@ ff82dda0	7372800        	0.000000e+00   	6.450199e+03   	3.193507e+02   	5.48266
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.648361e+03   	2.330106e+02   	2.913197e+05   	7.774920e+08   	110
 ff82dda0	7372800        	0.000000e+00   	3.907893e+03   	1.767346e+02   	3.790657e+05   	1.484378e+09   	97
@@ -130,6 +136,8 @@ ff82dda0	7372800        	0.000000e+00   	3.907893e+03   	1.767346e+02   	3.79065
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.649815e+03   	2.112061e+02   	4.054218e+05   	1.081118e+09   	153
 ff82dda0	7372800        	0.000000e+00   	6.517136e+03   	3.918474e+02   	3.454082e+05   	2.259210e+09   	53

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	2.469013e+03   	5.595193e+01   	2.765294e+05   	6.831054e+08   	112
 d39bff17	3276800        	0.000000e+00   	1.667528e+04   	1.964808e+02   	1.300672e+06   	2.169208e+10   	78
@@ -65,6 +67,8 @@ ff82dda0	7372800        	0.000000e+00   	5.216745e+04   	4.664151e+02   	3.44305
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.490410e+02   	1.344248e+02   	7.415506e+04   	5.733412e+07   	99
 d39bff17	3276800        	0.000000e+00   	2.737524e+03   	2.974057e+02   	3.942034e+05   	1.091878e+09   	144
@@ -97,6 +101,8 @@ ff82dda0	7372800        	0.000000e+00   	7.212728e+03   	1.319942e+03   	6.92421
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.688939e+02   	1.457751e+02   	6.843156e+04   	5.450789e+07   	89
 d39bff17	3276800        	0.000000e+00   	2.735563e+03   	2.889694e+02   	2.899697e+05   	8.020820e+08   	106
@@ -129,6 +135,8 @@ ff82dda0	7372800        	0.000000e+00   	6.820126e+03   	9.314994e+02   	7.63854
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.150281e+02   	1.235393e+02   	6.363750e+04   	4.686092e+07   	89
 d39bff17	3276800        	0.000000e+00   	2.835249e+03   	4.125186e+02   	1.899617e+05   	5.499903e+08   	67
@@ -161,6 +169,8 @@ ff82dda0	7372800        	0.000000e+00   	6.720945e+03   	7.632032e+02   	6.98978
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.190609e+02   	1.144317e+02   	7.406327e+04   	5.460474e+07   	103
 d39bff17	3276800        	0.000000e+00   	2.867186e+03   	4.168496e+02   	2.838514e+05   	8.310575e+08   	99
@@ -193,6 +203,8 @@ ff82dda0	7372800        	0.000000e+00   	6.809425e+03   	9.031920e+02   	6.40085
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.136273e+02   	1.258701e+02   	7.350362e+04   	5.408605e+07   	103
 d39bff17	3276800        	0.000000e+00   	2.942246e+03   	4.585544e+02   	1.706502e+05   	5.142907e+08   	58
@@ -225,6 +237,8 @@ ff82dda0	7372800        	0.000000e+00   	6.744194e+03   	8.416374e+02   	5.59768
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.204798e+02   	9.746533e+01   	1.080720e+05   	7.928859e+07   	150
 d39bff17	3276800        	0.000000e+00   	2.539831e+03   	4.296517e+02   	3.885942e+05   	1.015208e+09   	153
@@ -257,6 +271,8 @@ ff82dda0	7372800        	0.000000e+00   	7.293979e+03   	1.385713e+03   	6.92928
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.460951e+02   	1.203288e+02   	7.386342e+04   	5.654256e+07   	99
 d39bff17	3276800        	0.000000e+00   	2.972783e+03   	5.066224e+02   	2.259315e+05   	6.911522e+08   	76
@@ -289,6 +305,8 @@ ff82dda0	7372800        	0.000000e+00   	6.643349e+03   	8.230064e+02   	6.51048
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	7.518059e+02   	1.406096e+02   	8.495406e+04   	6.610309e+07   	113
 d39bff17	3276800        	0.000000e+00   	2.794983e+03   	3.357608e+02   	4.164524e+05   	1.180775e+09   	149

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.615269e+04   	4.099119e+02   	4.748890e+06   	7.675673e+10   	294
 ff82dda0	7372800        	0.000000e+00   	5.118532e+04   	6.422962e+02   	1.530441e+07   	7.834845e+11   	299
@@ -65,6 +67,8 @@ ff82dda0	7372800        	0.000000e+00   	5.118532e+04   	6.422962e+02   	1.53044
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.740712e+03   	2.663471e+02   	5.755494e+05   	1.592313e+09   	210
 ff82dda0	7372800        	0.000000e+00   	6.504044e+03   	4.912781e+02   	1.385361e+06   	9.061859e+09   	213
@@ -97,6 +101,8 @@ ff82dda0	7372800        	0.000000e+00   	6.504044e+03   	4.912781e+02   	1.38536
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.716114e+03   	2.688407e+02   	4.237138e+05   	1.162130e+09   	156
 ff82dda0	7372800        	0.000000e+00   	6.512491e+03   	5.367987e+02   	8.270864e+05   	5.422988e+09   	127
@@ -129,6 +135,8 @@ ff82dda0	7372800        	0.000000e+00   	6.512491e+03   	5.367987e+02   	8.27086
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.294336e+03   	5.071880e+02   	4.909878e+05   	1.181540e+09   	214
 ff82dda0	7372800        	0.000000e+00   	6.469485e+03   	5.370376e+02   	7.698688e+05   	5.014976e+09   	119

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_12.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	5.637990e+04   	1.036285e+04   	8.118706e+06   	4.731958e+11   	144
 d39bff17	3276800        	0.000000e+00   	5.106660e+03   	6.848530e+02   	2.134584e+06   	1.109665e+10   	418
@@ -66,6 +68,8 @@ ff82dda0	7372800        	0.000000e+00   	1.726784e+04   	3.264426e+03   	3.02187
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	5.668892e+03   	6.964909e+02   	1.394547e+06   	8.024874e+09   	246
 d39bff17	3276800        	0.000000e+00   	1.216432e+03   	1.410794e+02   	1.934127e+05   	2.384382e+08   	159
@@ -99,6 +103,8 @@ ff82dda0	7372800        	0.000000e+00   	2.106719e+03   	2.638200e+02   	5.64600
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	5.677828e+03   	6.218985e+02   	1.311578e+06   	7.536257e+09   	231
 d39bff17	3276800        	0.000000e+00   	1.199302e+03   	1.658297e+02   	1.774966e+05   	2.169419e+08   	148
@@ -132,6 +138,8 @@ ff82dda0	7372800        	0.000000e+00   	2.138085e+03   	2.696288e+02   	6.37149
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	5.593766e+03   	7.653530e+02   	1.510317e+06   	8.606516e+09   	270
 d39bff17	3276800        	0.000000e+00   	1.148300e+03   	2.163448e+02   	2.021009e+05   	2.403102e+08   	176
@@ -165,6 +173,8 @@ ff82dda0	7372800        	0.000000e+00   	2.196957e+03   	3.265420e+02   	4.34997
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	5.652338e+03   	6.245997e+02   	1.520479e+06   	8.699205e+09   	269
 d39bff17	3276800        	0.000000e+00   	1.203544e+03   	1.679024e+02   	2.286733e+05   	2.805746e+08   	190

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.377909e+04   	1.008911e+03   	6.145473e+06   	8.513300e+10   	446
 ff82dda0	7372800        	0.000000e+00   	4.298380e+04   	1.919778e+03   	1.177756e+07   	5.072542e+11   	274
@@ -66,6 +68,8 @@ ff82dda0	7372800        	0.000000e+00   	4.298380e+04   	1.919778e+03   	1.17775
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.656425e+03   	2.270595e+02   	3.320531e+05   	8.885184e+08   	125
 ff82dda0	7372800        	0.000000e+00   	6.358340e+03   	3.816293e+02   	5.023088e+05   	3.205356e+09   	79
@@ -98,6 +102,8 @@ ff82dda0	7372800        	0.000000e+00   	6.358340e+03   	3.816293e+02   	5.02308
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.902887e+03   	4.574719e+02   	4.585957e+05   	9.230924e+08   	241
 ff82dda0	7372800        	0.000000e+00   	3.810456e+03   	1.334249e+02   	3.353201e+05   	1.279289e+09   	88
@@ -130,6 +136,8 @@ ff82dda0	7372800        	0.000000e+00   	3.810456e+03   	1.334249e+02   	3.35320
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.657310e+03   	2.918518e+02   	3.162199e+05   	8.504305e+08   	119
 ff82dda0	7372800        	0.000000e+00   	3.819809e+03   	1.073068e+02   	3.055848e+05   	1.168197e+09   	80

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	1.946809e+03   	8.216247e+01   	4.049363e+05   	7.897378e+08   	208
 d39bff17	3276800        	0.000000e+00   	1.423970e+04   	2.281585e+02   	1.395491e+06   	1.987647e+10   	98
@@ -65,6 +67,8 @@ ff82dda0	7372800        	0.000000e+00   	4.640991e+04   	5.437505e+02   	4.91945
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	4.484181e+02   	9.807341e+01   	3.004401e+04   	1.411671e+07   	67
 d39bff17	3276800        	0.000000e+00   	1.658665e+03   	2.005859e+02   	2.388477e+05   	4.019622e+08   	144
@@ -97,6 +101,8 @@ ff82dda0	7372800        	0.000000e+00   	3.922083e+03   	2.271290e+02   	2.58857
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	5.042679e+02   	1.229686e+02   	7.362312e+04   	3.933348e+07   	146
 d39bff17	3276800        	0.000000e+00   	2.167031e+03   	5.827483e+02   	2.773800e+05   	6.445595e+08   	128
@@ -129,6 +135,8 @@ ff82dda0	7372800        	0.000000e+00   	4.035358e+03   	4.245106e+02   	4.03535
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	4.873044e+02   	1.174149e+02   	2.631443e+04   	1.356760e+07   	54
 d39bff17	3276800        	0.000000e+00   	1.705876e+03   	1.721886e+02   	1.808228e+05   	3.116041e+08   	106
@@ -161,6 +169,8 @@ ff82dda0	7372800        	0.000000e+00   	3.936492e+03   	2.608005e+02   	2.44062
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	5.272057e+02   	1.307030e+02   	5.535660e+04   	3.097805e+07   	105
 d39bff17	3276800        	0.000000e+00   	1.638590e+03   	9.390080e+01   	1.163399e+05   	1.912593e+08   	71
@@ -193,6 +203,8 @@ ff82dda0	7372800        	0.000000e+00   	4.055643e+03   	3.711103e+02   	4.17731
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	4.303558e+02   	7.490536e+01   	2.840348e+04   	1.259392e+07   	66
 d39bff17	3276800        	0.000000e+00   	1.669452e+03   	1.444951e+02   	1.419035e+05   	2.386758e+08   	85
@@ -225,6 +237,8 @@ ff82dda0	7372800        	0.000000e+00   	4.288060e+03   	7.671104e+02   	2.74435
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	4.394264e+02   	8.387153e+01   	6.283798e+04   	2.861859e+07   	143
 d39bff17	3276800        	0.000000e+00   	2.098818e+03   	5.403136e+02   	2.140795e+05   	4.790917e+08   	102
@@ -257,6 +271,8 @@ ff82dda0	7372800        	0.000000e+00   	4.766912e+03   	1.123433e+03   	7.57939
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	4.660051e+02   	1.021627e+02   	6.477470e+04   	3.163611e+07   	139
 d39bff17	3276800        	0.000000e+00   	2.103985e+03   	5.293854e+02   	2.377503e+05   	5.318912e+08   	113
@@ -289,6 +305,8 @@ ff82dda0	7372800        	0.000000e+00   	3.972257e+03   	3.858968e+02   	2.89974
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 2c1922b7	819200         	0.000000e+00   	5.222345e+02   	1.241013e+02   	2.715620e+04   	1.498276e+07   	52
 d39bff17	3276800        	0.000000e+00   	1.941135e+03   	4.386059e+02   	1.824667e+05   	3.722759e+08   	94

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.373117e+04   	2.756172e+02   	7.167670e+06   	9.846014e+10   	522
 ff82dda0	7372800        	0.000000e+00   	4.545501e+04   	7.462378e+02   	1.750018e+07   	7.956851e+11   	385
@@ -65,6 +67,8 @@ ff82dda0	7372800        	0.000000e+00   	4.545501e+04   	7.462378e+02   	1.75001
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.883473e+03   	4.679640e+02   	2.537456e+05   	7.509396e+08   	88
 ff82dda0	7372800        	0.000000e+00   	6.462089e+03   	4.136967e+02   	5.751259e+05   	3.731746e+09   	89
@@ -97,6 +101,8 @@ ff82dda0	7372800        	0.000000e+00   	6.462089e+03   	4.136967e+02   	5.75125
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	2.231007e+03   	5.378925e+02   	3.234960e+05   	7.636746e+08   	145
 ff82dda0	7372800        	0.000000e+00   	3.904524e+03   	2.515208e+02   	4.021660e+05   	1.576783e+09   	103
@@ -129,6 +135,8 @@ ff82dda0	7372800        	0.000000e+00   	3.904524e+03   	2.515208e+02   	4.02166
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d39bff17	3276800        	0.000000e+00   	1.665736e+03   	1.392688e+02   	2.881723e+05   	4.833744e+08   	173
 ff82dda0	7372800        	0.000000e+00   	3.891632e+03   	2.259287e+02   	7.199519e+05   	2.811230e+09   	185

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_21.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	8.483517e+04   	1.709999e+04   	1.781539e+06   	1.572777e+11   	21
 d39bff17	3276800        	0.000000e+00   	8.986208e+03   	1.629610e+03   	1.797242e+05   	1.668151e+09   	20
@@ -66,6 +68,8 @@ ff82dda0	7372800        	0.000000e+00   	1.583302e+04   	2.624137e+03   	3.97408
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	4.641113e+03   	5.516013e+02   	1.257742e+06   	5.919777e+09   	271
 d39bff17	3276800        	0.000000e+00   	8.365056e+02   	1.344660e+02   	1.396964e+05   	1.198764e+08   	167
@@ -99,6 +103,8 @@ ff82dda0	7372800        	0.000000e+00   	1.570696e+03   	2.281691e+02   	4.11522
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	4.556926e+03   	5.099622e+02   	1.048093e+06   	4.835897e+09   	230
 d39bff17	3276800        	0.000000e+00   	7.019049e+02   	1.632697e+02   	1.109010e+05   	8.205375e+07   	158
@@ -132,6 +138,8 @@ ff82dda0	7372800        	0.000000e+00   	1.571709e+03   	2.150516e+02   	4.00785
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	4.650733e+03   	7.073225e+02   	1.232444e+06   	5.864350e+09   	265
 d39bff17	3276800        	0.000000e+00   	8.352707e+02   	1.515223e+02   	1.587014e+05   	1.369209e+08   	190
@@ -165,6 +173,8 @@ ff82dda0	7372800        	0.000000e+00   	1.569547e+03   	2.419662e+02   	2.58975
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 0e8bce2b	16588800       	0.000000e+00   	4.671203e+03   	5.859459e+02   	1.331293e+06   	6.316588e+09   	285
 d39bff17	3276800        	0.000000e+00   	8.453596e+02   	1.395049e+02   	1.420204e+05   	1.233279e+08   	168

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.attila

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -34,6 +34,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	2.587052e+04   	1.487038e+03   	5.386241e+07   	1.398052e+12   	2082
 24c84a50	11059200       	0.000000e+00   	8.218890e+04   	3.347888e+03   	1.244340e+08   	1.024406e+13   	1514
@@ -66,6 +68,8 @@ d46431bb	1228800        	0.000000e+00   	3.265838e+03   	1.561177e+02   	8.34748
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	9.047163e+02   	4.943457e+01   	7.022408e+06   	6.372255e+09   	7762
 24c84a50	11059200       	0.000000e+00   	2.963966e+03   	7.453353e+01   	1.530888e+07   	4.540369e+10   	5165
@@ -98,6 +102,8 @@ d46431bb	1228800        	0.000000e+00   	1.924610e+02   	1.043827e+01   	8.55681
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	8.810829e+02   	4.167975e+01   	6.874209e+06   	6.070301e+09   	7802
 24c84a50	11059200       	0.000000e+00   	2.960803e+03   	8.260112e+01   	1.519780e+07   	4.503271e+10   	5133
@@ -130,6 +136,8 @@ d46431bb	1228800        	0.000000e+00   	1.894698e+02   	9.561378e+00   	8.34046
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	8.953024e+02   	5.096374e+01   	6.835634e+06   	6.139790e+09   	7635
 24c84a50	11059200       	0.000000e+00   	2.963787e+03   	5.048433e+01   	1.524275e+07   	4.518938e+10   	5143

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.idgraf

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	3.393927e+03   	8.566524e+01   	3.533078e+06   	1.199865e+10   	1041
 f0ac7beb	4915200        	0.000000e+00   	2.682238e+04   	4.332821e+02   	9.951104e+06   	2.669820e+11   	371
@@ -65,6 +67,8 @@ f0ac7beb	4915200        	0.000000e+00   	2.682238e+04   	4.332821e+02   	9.95110
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.946363e+02   	2.537099e+01   	6.294539e+05   	1.245963e+08   	3234
 f0ac7beb	4915200        	0.000000e+00   	9.257288e+02   	6.590058e+01   	3.791785e+06   	3.527953e+09   	4096
@@ -97,6 +101,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.257288e+02   	6.590058e+01   	3.79178
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.954243e+02   	2.831383e+01   	5.661443e+05   	1.129608e+08   	2897
 f0ac7beb	4915200        	0.000000e+00   	9.376794e+02   	7.341921e+01   	3.415966e+06   	3.222718e+09   	3643
@@ -129,6 +135,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.376794e+02   	7.341921e+01   	3.41596
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.867261e+02   	2.556099e+01   	5.342234e+05   	1.016227e+08   	2861
 f0ac7beb	4915200        	0.000000e+00   	8.996740e+02   	6.639270e+01   	3.427758e+06   	3.100659e+09   	3810
@@ -161,6 +169,8 @@ f0ac7beb	4915200        	0.000000e+00   	8.996740e+02   	6.639270e+01   	3.42775
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.927028e+02   	2.478568e+01   	6.783137e+05   	1.328754e+08   	3520
 f0ac7beb	4915200        	0.000000e+00   	9.234475e+02   	6.432680e+01   	3.846159e+06   	3.568960e+09   	4165
@@ -193,6 +203,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.234475e+02   	6.432680e+01   	3.84615
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.868734e+02   	2.558187e+01   	5.049318e+05   	9.612659e+07   	2702
 f0ac7beb	4915200        	0.000000e+00   	9.407115e+02   	6.874274e+01   	3.317889e+06   	3.137844e+09   	3527
@@ -225,6 +237,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.407115e+02   	6.874274e+01   	3.31788
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.924732e+02   	2.459364e+01   	6.245755e+05   	1.221768e+08   	3245
 f0ac7beb	4915200        	0.000000e+00   	9.173887e+02   	7.039530e+01   	3.781476e+06   	3.489510e+09   	4122
@@ -257,6 +271,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.173887e+02   	7.039530e+01   	3.78147
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.877972e+02   	2.764994e+01   	5.324050e+05   	1.021516e+08   	2835
 f0ac7beb	4915200        	0.000000e+00   	9.245688e+02   	6.946750e+01   	3.363581e+06   	3.127419e+09   	3638
@@ -289,6 +305,8 @@ f0ac7beb	4915200        	0.000000e+00   	9.245688e+02   	6.946750e+01   	3.36358
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 d46431bb	1228800        	0.000000e+00   	1.865351e+02   	2.381101e+01   	6.651841e+05   	1.261020e+08   	3566
 f0ac7beb	4915200        	0.000000e+00   	9.257403e+02   	6.896157e+01   	3.669635e+06   	3.415980e+09   	3964

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.mirage

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	2.645658e+04   	4.968429e+02   	5.820449e+07   	1.540435e+12   	2200
 24c84a50	11059200       	0.000000e+00   	8.756135e+04   	9.752924e+02   	1.866808e+08   	1.634805e+13   	2132
@@ -65,6 +67,8 @@ d46431bb	1228800        	0.000000e+00   	3.234444e+03   	8.877025e+01   	1.32579
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	8.760921e+02   	3.574580e+01   	7.074444e+06   	6.208182e+09   	8075
 24c84a50	11059200       	0.000000e+00   	2.988744e+03   	8.136061e+01   	2.363499e+07   	7.069126e+10   	7908
@@ -97,6 +101,8 @@ d46431bb	1228800        	0.000000e+00   	1.911930e+02   	1.434147e+01   	1.24810
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	9.198175e+02   	4.677043e+01   	6.931745e+06   	6.392425e+09   	7536
 24c84a50	11059200       	0.000000e+00   	3.016176e+03   	6.737054e+01   	2.311597e+07   	6.975663e+10   	7664
@@ -129,6 +135,8 @@ d46431bb	1228800        	0.000000e+00   	1.910500e+02   	1.400155e+01   	1.31709
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 f0ac7beb	4915200        	0.000000e+00   	9.143628e+02   	4.685332e+01   	6.720566e+06   	6.161171e+09   	7350
 24c84a50	11059200       	0.000000e+00   	3.002393e+03   	6.861698e+01   	2.339765e+07   	7.028562e+10   	7793

tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_22.sirocco

@@ -1,6 +1,6 @@
 ##################
 # Performance Model Version
-44
+45
 
 ####################
 # COMBs
@@ -33,6 +33,8 @@
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	0.000000e+00   	1.164877e+05   	2.576301e+04   	2.054842e+08   	2.510721e+13   	1764
 f0ac7beb	4915200        	0.000000e+00   	1.087142e+04   	2.109400e+03   	2.505863e+07   	2.826792e+11   	2305
@@ -66,6 +68,8 @@ d46431bb	1228800        	0.000000e+00   	1.613402e+03   	3.115535e+02   	8.43809
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	0.000000e+00   	2.688252e+03   	2.597845e+02   	1.459721e+07   	3.960743e+10   	5430
 f0ac7beb	4915200        	0.000000e+00   	2.657700e+02   	2.996380e+01   	1.356225e+06   	3.650255e+08   	5103
@@ -99,6 +103,8 @@ d46431bb	1228800        	0.000000e+00   	6.142508e+01   	1.012391e+01   	4.39373
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	0.000000e+00   	2.707789e+03   	2.773178e+02   	1.421860e+07   	3.890480e+10   	5251
 f0ac7beb	4915200        	0.000000e+00   	2.693001e+02   	2.710216e+01   	1.308798e+06   	3.560293e+08   	4860
@@ -132,6 +138,8 @@ d46431bb	1228800        	0.000000e+00   	6.592485e+01   	1.426453e+01   	1.07127
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	0.000000e+00   	2.706383e+03   	2.631153e+02   	1.444938e+07   	3.947516e+10   	5339
 f0ac7beb	4915200        	0.000000e+00   	2.686331e+02   	2.912062e+01   	1.401996e+06   	3.810483e+08   	5219
@@ -165,6 +173,8 @@ d46431bb	1228800        	0.000000e+00   	6.317490e+01   	1.087216e+01   	2.86687
 0.000000e+00   	0.000000e+00   	0.000000e+00   	0.000000e+00   	nan            	nan            	0	0              	0              
 # a		b		c
 nan            	nan            	nan            
+# not multiple-regression-base
+0
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
 8cfc3ba0	24883200       	0.000000e+00   	2.681149e+03   	2.665822e+02   	1.451306e+07   	3.929636e+10   	5413
 f0ac7beb	4915200        	0.000000e+00   	2.642224e+02   	2.666799e+01   	1.450317e+06   	3.871098e+08   	5489