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

####################
# COMBs
# number of combinations
5
####################
# 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 
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            
# hash		size		flops		mean (us)	dev (us)	sum		sum2		n
492beed5	33177600       	7.077888e+09   	2.745578e+03   	3.064191e+02   	6.616844e+05   	1.839335e+09   	241
0b0b0ce8	3686400        	2.621440e+08   	1.582927e+02   	3.333442e+01   	3.434951e+04   	5.678402e+06   	217
4220e23d	14745600       	2.097152e+09   	8.206871e+02   	1.017181e+02   	1.148962e+05   	9.574235e+07   	140
87a7dc42	74649600       	2.388787e+10   	9.813897e+03   	7.998509e+02   	1.570224e+06   	1.551237e+10   	160

####################
# 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 
3
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda3_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            
# hash		size		flops		mean (us)	dev (us)	sum		sum2		n
492beed5	33177600       	7.077888e+09   	2.686428e+03   	2.002215e+02   	6.716071e+05   	1.814247e+09   	250
0b0b0ce8	3686400        	2.621440e+08   	1.630480e+02   	3.438768e+01   	3.097912e+04   	5.275762e+06   	190
4220e23d	14745600       	2.097152e+09   	8.448030e+02   	7.773742e+01   	2.433033e+05   	2.072837e+08   	288
87a7dc42	74649600       	2.388787e+10   	9.873153e+03   	8.026227e+02   	1.579704e+06   	1.569974e+10   	160

####################
# 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 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_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            
# hash		size		flops		mean (us)	dev (us)	sum		sum2		n
492beed5	33177600       	7.077888e+09   	2.791098e+03   	3.147711e+02   	6.503258e+05   	1.838209e+09   	233
0b0b0ce8	3686400        	2.621440e+08   	1.624855e+02   	3.298013e+01   	2.940987e+04   	4.975550e+06   	181
4220e23d	14745600       	2.097152e+09   	8.152506e+02   	1.017614e+02   	1.173961e+05   	9.719839e+07   	144
87a7dc42	74649600       	2.388787e+10   	1.001360e+04   	7.827579e+02   	1.582149e+06   	1.593981e+10   	158

####################
# 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
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            
# hash		size		flops		mean (us)	dev (us)	sum		sum2		n
492beed5	33177600       	7.077888e+09   	2.754203e+03   	2.682327e+02   	6.830422e+05   	1.899080e+09   	248
0b0b0ce8	3686400        	2.621440e+08   	1.622246e+02   	3.553894e+01   	3.714942e+04   	6.315779e+06   	229
4220e23d	14745600       	2.097152e+09   	8.611626e+02   	9.290485e+01   	2.411255e+05   	2.100651e+08   	280
87a7dc42	74649600       	2.388787e+10   	9.935915e+03   	7.366769e+02   	1.569875e+06   	1.568389e+10   	158

####################
# COMB_4
# 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 (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            
# hash		size		flops		mean (us)	dev (us)	sum		sum2		n
492beed5	33177600       	7.077888e+09   	1.712078e+05   	4.163047e+04   	2.773567e+07   	5.029326e+12   	162
0b0b0ce8	3686400        	2.621440e+08   	6.441655e+03   	1.152866e+03   	3.220827e+05   	2.141201e+09   	50
4220e23d	14745600       	2.097152e+09   	4.927734e+04   	1.166029e+04   	5.913281e+06   	3.077063e+11   	120
87a7dc42	74649600       	2.388787e+10   	5.091210e+05   	1.022002e+05   	6.974957e+07   	3.694192e+13   	137