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

####################
# COMBs
# number of combinations
4

####################
# COMB_3
# 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 (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
0b0b0ce8	7372800        	2.621440e+08   	2.783376e+04   	1.016266e+03   	2.254534e+06   	6.283582e+10   	81
492beed5	66355200       	7.077888e+09   	7.068870e+05   	1.582112e+04   	5.725785e+07   	4.049511e+13   	81
4220e23d	29491200       	2.097152e+09   	2.135531e+05   	4.787239e+03   	1.729780e+07   	3.695855e+12   	81

####################
# 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
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
0b0b0ce8	7372800        	2.621440e+08   	1.040745e+03   	1.710737e+01   	1.040745e+05   	1.083442e+08   	100
492beed5	66355200       	7.077888e+09   	2.322675e+04   	6.514638e+01   	2.438809e+06   	5.664606e+10   	105
4220e23d	29491200       	2.097152e+09   	7.042883e+03   	4.736092e+01   	7.395027e+05   	5.208467e+09   	105

####################
# 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
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
0b0b0ce8	7372800        	2.621440e+08   	1.057967e+03   	4.209841e+01   	1.057967e+05   	1.121067e+08   	100
492beed5	66355200       	7.077888e+09   	2.322865e+04   	8.861437e+01   	2.439008e+06   	5.665569e+10   	105
4220e23d	29491200       	2.097152e+09   	7.053091e+03   	5.410169e+01   	7.405746e+05   	5.223647e+09   	105

####################
# 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 
2
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda2_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
0b0b0ce8	7372800        	2.621440e+08   	1.050834e+03   	7.708100e+01   	1.019309e+05   	1.076889e+08   	97
492beed5	66355200       	7.077888e+09   	2.323864e+04   	5.619683e+01   	2.440057e+06   	5.670394e+10   	105
4220e23d	29491200       	2.097152e+09   	7.040571e+03   	3.296604e+01   	7.392600e+05   	5.204926e+09   	105