starpu-max/tools/perfmodels/sampling/codelets/45/starpu_dlu_lu_model_21.sirocco

##################
# Performance Model Version
45

####################
# COMBs
# number of combinations
5
####################
# COMB_4
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
0
####################
# DEV_0
# device id 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cpu0_impl0 (Comb4)
# number of entries
4
# 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
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
d39bff17	6553600        	0.000000e+00   	1.762919e+04   	3.396463e+03   	6.170218e+05   	1.128135e+10   	35
0e8bce2b	33177600       	0.000000e+00   	2.090375e+05   	4.666688e+04   	3.762675e+06   	8.257406e+11   	18

####################
# COMB_0
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
1
####################
# DEV_0
# device id 
2
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda2_impl0 (Comb0)
# number of entries
4
# 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
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
d39bff17	6553600        	0.000000e+00   	9.089165e+02   	1.570596e+02   	1.590604e+05   	1.488895e+08   	175
0e8bce2b	33177600       	0.000000e+00   	5.659456e+03   	7.119452e+02   	1.058318e+06   	6.084289e+09   	187

####################
# COMB_2
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
1
####################
# DEV_0
# device id 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda0_impl0 (Comb2)
# number of entries
4
# 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
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
d39bff17	6553600        	0.000000e+00   	9.441529e+02   	1.527244e+02   	2.398148e+05   	2.323464e+08   	254
0e8bce2b	33177600       	0.000000e+00   	5.713813e+03   	7.827526e+02   	8.456444e+05   	4.922534e+09   	148

####################
# COMB_3
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
1
####################
# DEV_0
# device id 
3
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda3_impl0 (Comb3)
# number of entries
4
# 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
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
d39bff17	6553600        	0.000000e+00   	9.018562e+02   	1.587421e+02   	1.470026e+05   	1.366826e+08   	163
0e8bce2b	33177600       	0.000000e+00   	5.604694e+03   	6.527594e+02   	1.132148e+06   	6.431415e+09   	202

####################
# COMB_1
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
1
####################
# DEV_0
# device id 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_impl0 (Comb1)
# number of entries
4
# 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
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
d39bff17	6553600        	0.000000e+00   	9.130900e+02   	1.739240e+02   	2.182285e+05   	2.064919e+08   	239
0e8bce2b	33177600       	0.000000e+00   	5.804941e+03   	6.806052e+02   	9.113758e+05   	5.363209e+09   	157