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Re-bench potrf on plafrim

Samuel Thibault 10 年之前
父節點
當前提交
0c1461e8d0
共有 1 個文件被更改,包括 13 次插入13 次删除
  1. 13 13
      tools/perfmodels/sampling/codelets/44/chol_model_11.mirage

+ 13 - 13
tools/perfmodels/sampling/codelets/44/chol_model_11.mirage

@@ -66,12 +66,12 @@ afdd228b	1638400        	8.758624e+07   	5.940712e+03   	2.434960e+02   	2.37628
 # a		b		c
 nan            	nan            	nan            
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
-cea37d6d	409600         	1.097392e+07   	2.918360e+03   	1.924750e+02   	2.918360e+04   	8.553869e+07   	10
-617e5fe6	3686400        	2.953730e+08   	1.239445e+04   	1.620572e+03   	1.363389e+05   	1.718735e+09   	11
-afdd228b	1638400        	8.758624e+07   	5.044027e+03   	9.860073e+02   	6.052832e+04   	3.169730e+08   	12
+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
+afdd228b	1638400        	8.758624e+07   	3.522008e+03   	5.701992e+01   	1.021382e+05   	3.598259e+08   	29
 
 ####################
-# COMB_2
+# COMB_3
 # number of types devices
 1
 ####################
@@ -90,7 +90,7 @@ afdd228b	1638400        	8.758624e+07   	5.044027e+03   	9.860073e+02   	6.05283
 # number of implementations
 1
 #####
-# Model for cuda1_impl0 (Comb2)
+# Model for cuda1_impl0 (Comb3)
 # number of entries
 3
 # sumlnx	sumlnx2		sumlny		sumlnxlny	alpha		beta		n	minx		maxx
@@ -98,12 +98,12 @@ afdd228b	1638400        	8.758624e+07   	5.044027e+03   	9.860073e+02   	6.05283
 # a		b		c
 nan            	nan            	nan            
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
-cea37d6d	409600         	1.097392e+07   	3.820396e+03   	6.009552e+02   	3.820396e+04   	1.495658e+08   	10
-617e5fe6	3686400        	2.953730e+08   	4.056348e+04   	1.353308e+03   	4.056348e+05   	1.647228e+10   	10
-afdd228b	1638400        	8.758624e+07   	1.146929e+04   	1.466472e+03   	1.146929e+05   	1.336952e+09   	10
+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
+617e5fe6	3686400        	2.953730e+08   	5.557011e+03   	6.001156e+01   	1.611533e+05   	8.956353e+08   	29
 
 ####################
-# COMB_3
+# COMB_2
 # number of types devices
 1
 ####################
@@ -122,7 +122,7 @@ afdd228b	1638400        	8.758624e+07   	1.146929e+04   	1.466472e+03   	1.14692
 # number of implementations
 1
 #####
-# Model for cuda2_impl0 (Comb3)
+# Model for cuda2_impl0 (Comb2)
 # number of entries
 3
 # sumlnx	sumlnx2		sumlny		sumlnxlny	alpha		beta		n	minx		maxx
@@ -130,7 +130,7 @@ afdd228b	1638400        	8.758624e+07   	1.146929e+04   	1.466472e+03   	1.14692
 # a		b		c
 nan            	nan            	nan            
 # hash		size		flops		mean (us)	dev (us)	sum		sum2		n
-cea37d6d	409600         	1.097392e+07   	2.847962e+03   	2.297293e+02   	2.847962e+04   	8.163663e+07   	10
-617e5fe6	3686400        	2.953730e+08   	3.799962e+04   	4.946563e+03   	3.799962e+05   	1.468440e+10   	10
-afdd228b	1638400        	8.758624e+07   	1.204317e+04   	9.253606e+02   	1.204317e+05   	1.458942e+09   	10
+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
+afdd228b	1638400        	8.758624e+07   	3.742877e+03   	5.898784e+01   	1.085434e+05   	4.063656e+08   	29