starpu-max/tools/perfmodels/sampling/codelets/44/starpu_slu_lu_model_11.idgraf

##################
# Performance Model Version
44

####################
# COMBs
# number of combinations
9
####################
# COMB_8
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
0
####################
# DEV_0
# device id 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cpu0_impl0 (Comb8)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	1.169735e+05   	9.368471e+02   	1.169735e+06   	1.368368e+11   	10

####################
# COMB_3
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda0_impl0 (Comb3)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	6.234962e+04   	7.670296e+03   	6.858458e+05   	4.340939e+10   	11

####################
# COMB_2
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
5
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda5_impl0 (Comb2)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	6.590141e+04   	1.170188e+04   	6.590141e+05   	4.479930e+10   	10

####################
# COMB_1
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
6
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda6_impl0 (Comb1)
# number of entries
3
# 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            
# 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
afdd228b	1638400        	0.000000e+00   	2.872444e+04   	2.010264e+03   	3.159688e+05   	9.120481e+09   	11

####################
# COMB_0
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
4
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda4_impl0 (Comb0)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	6.102500e+04   	7.308309e+03   	6.102500e+05   	3.777463e+10   	10

####################
# COMB_4
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
7
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda7_impl0 (Comb4)
# number of entries
3
# 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            
# 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
afdd228b	1638400        	0.000000e+00   	3.238968e+04   	5.459084e+03   	3.238968e+05   	1.078893e+10   	10

####################
# COMB_6
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
3
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda3_impl0 (Comb6)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	6.506731e+04   	1.183046e+04   	8.458750e+05   	5.685829e+10   	13

####################
# COMB_5
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_impl0 (Comb5)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	6.215917e+04   	1.023772e+04   	6.215917e+05   	3.968573e+10   	10

####################
# COMB_7
# number of types devices
1
####################
# DEV_0
# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4)
1
####################
# DEV_0
# device id 
2
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda2_impl0 (Comb7)
# number of entries
3
# 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            
# 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
617e5fe6	3686400        	0.000000e+00   	5.724831e+04   	3.045025e+03   	7.442280e+05   	4.272633e+10   	13