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

####################
# COMBs
# number of combinations
4
####################
# 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
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
afdd228b	1638400        	8.758624e+07   	5.940712e+03   	2.434960e+02   	2.376285e+05   	1.414054e+09   	40

####################
# 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
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

####################
# 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 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_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
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

####################
# 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
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