##################
# 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
f2ff9ae5	34480152       	0.000000e+00   	4.346555e+01   	9.370422e+00   	2.103733e+04   	9.568966e+05   	484
fb4b8624	4427800        	0.000000e+00   	1.080055e+01   	2.408554e+00   	6.631537e+03   	7.518614e+04   	614
4af260f6	14678040       	0.000000e+00   	2.045608e+01   	4.186697e+00   	1.294870e+04   	2.759751e+05   	633

####################
# 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
f2ff9ae5	34480152       	0.000000e+00   	3.184284e+01   	5.707419e+00   	4.840111e+03   	1.590742e+05   	152
fb4b8624	4427800        	0.000000e+00   	3.194475e+01   	5.964283e+00   	1.150011e+03   	3.801743e+04   	36
4af260f6	14678040       	0.000000e+00   	3.430576e+01   	6.297323e+00   	5.523228e+03   	1.958632e+05   	161

####################
# 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 
1
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda1_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
f2ff9ae5	34480152       	0.000000e+00   	2.735681e+01   	5.823931e+00   	3.063963e+03   	8.761910e+04   	112
fb4b8624	4427800        	0.000000e+00   	3.161427e+01   	5.733859e+00   	2.212999e+03   	7.226375e+04   	70
4af260f6	14678040       	0.000000e+00   	3.666193e+01   	6.692591e+00   	6.819119e+03   	2.583331e+05   	186

####################
# 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
f2ff9ae5	34480152       	0.000000e+00   	3.900993e+01   	8.465923e+00   	7.489907e+03   	3.059418e+05   	192
fb4b8624	4427800        	0.000000e+00   	3.364966e+01   	7.354940e+00   	1.278687e+03   	4.508300e+04   	38
4af260f6	14678040       	0.000000e+00   	2.853135e+01   	5.469952e+00   	8.730594e+03   	2.582513e+05   	306