starpu-max/tools/perfmodels/sampling/codelets/44/chol_model_21.sirocco

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

####################
# COMBs
# number of combinations
5
####################
# COMB_0
# 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 (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
ff82dda0	7372800        	8.856576e+08   	1.775772e+04   	3.736007e+03   	2.386637e+07   	4.425714e+11   	1344
d39bff17	3276800        	2.625536e+08   	5.276862e+03   	9.789431e+02   	7.070995e+06   	3.859682e+10   	1340
2c1922b7	819200         	3.287040e+07   	7.675336e+02   	1.464194e+02   	2.842177e+06   	2.260854e+09   	3703

####################
# 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 
3
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda3_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
ff82dda0	7372800        	8.856576e+08   	2.018325e+03   	2.870643e+02   	1.687320e+06   	3.474450e+09   	836
d39bff17	3276800        	2.625536e+08   	1.179394e+03   	1.705358e+02   	3.538181e+05   	4.260157e+08   	300
2c1922b7	819200         	3.287040e+07   	4.644748e+02   	7.687001e+01   	3.297771e+04   	1.573685e+07   	71

####################
# 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 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda0_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
ff82dda0	7372800        	8.856576e+08   	1.972468e+03   	2.888901e+02   	1.510910e+06   	3.044151e+09   	766
d39bff17	3276800        	2.625536e+08   	1.215766e+03   	1.649819e+02   	2.869207e+05   	3.552521e+08   	236
2c1922b7	819200         	3.287040e+07   	4.764697e+02   	7.471348e+01   	4.621756e+04   	2.256273e+07   	97

####################
# 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 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_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
ff82dda0	7372800        	8.856576e+08   	2.005118e+03   	2.787124e+02   	1.836689e+06   	3.753933e+09   	916
d39bff17	3276800        	2.625536e+08   	1.227664e+03   	1.874122e+02   	2.970946e+05   	3.732321e+08   	242
2c1922b7	819200         	3.287040e+07   	4.209987e+02   	9.547071e+01   	6.441281e+04   	2.851225e+07   	153

####################
# 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 
2
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda2_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
ff82dda0	7372800        	8.856576e+08   	2.051755e+03   	2.742098e+02   	1.811700e+06   	3.783559e+09   	883
d39bff17	3276800        	2.625536e+08   	1.153240e+03   	1.913332e+02   	3.194475e+05   	3.785401e+08   	277
2c1922b7	819200         	3.287040e+07   	4.950127e+02   	6.747714e+01   	5.445140e+04   	2.745498e+07   	110