##################
# 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
d39bff17	6553600        	0.000000e+00   	2.758103e+04   	7.024890e+02   	7.033162e+06   	1.941076e+11   	255
ff82dda0	14745600       	0.000000e+00   	9.143755e+04   	1.725750e+03   	1.234407e+07   	1.129114e+12   	135
2c1922b7	1638400        	0.000000e+00   	3.516018e+03   	1.528455e+02   	1.613852e+06   	5.685057e+09   	459

####################
# 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
d39bff17	6553600        	0.000000e+00   	2.131008e+03   	3.294125e+02   	6.755295e+05   	1.473957e+09   	317
ff82dda0	14745600       	0.000000e+00   	7.209283e+03   	1.090675e+03   	1.564414e+06   	1.153644e+10   	217
2c1922b7	1638400        	0.000000e+00   	6.237527e+02   	1.148972e+02   	1.210080e+05   	7.804013e+07   	194

####################
# 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
d39bff17	6553600        	0.000000e+00   	2.163459e+03   	3.374464e+02   	5.538454e+05   	1.227372e+09   	256
ff82dda0	14745600       	0.000000e+00   	6.895326e+03   	1.111793e+03   	1.234263e+06   	8.731908e+09   	179
2c1922b7	1638400        	0.000000e+00   	6.290993e+02   	1.019490e+02   	1.333690e+05   	8.610581e+07   	212

####################
# 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
d39bff17	6553600        	0.000000e+00   	2.119354e+03   	3.243594e+02   	5.912998e+05   	1.282527e+09   	279
ff82dda0	14745600       	0.000000e+00   	6.998019e+03   	1.239620e+03   	1.070697e+06   	7.727865e+09   	153
2c1922b7	1638400        	0.000000e+00   	6.140937e+02   	1.075567e+02   	1.430838e+05   	9.056234e+07   	233