##################
# 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
ff82dda0	7372800        	8.856576e+08   	4.361594e+04   	1.992990e+03   	1.840593e+07   	8.044680e+11   	422
d39bff17	3276800        	2.625536e+08   	1.391260e+04   	9.732436e+02   	6.552836e+06   	9.161314e+10   	471
2c1922b7	819200         	3.287040e+07   	2.026126e+03   	2.243730e+02   	1.355478e+06   	2.780050e+09   	669

####################
# 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
ff82dda0	7372800        	8.856576e+08   	6.302421e+03   	2.284702e+02   	1.739468e+06   	1.097727e+10   	276
d39bff17	3276800        	2.625536e+08   	2.553136e+03   	1.599096e+02   	6.714747e+05   	1.721091e+09   	263
2c1922b7	819200         	3.287040e+07   	6.889531e+02   	1.162392e+02   	1.198778e+05   	8.494121e+07   	174

####################
# 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
ff82dda0	7372800        	8.856576e+08   	6.325409e+03   	1.859324e+02   	1.688884e+06   	1.069211e+10   	267
d39bff17	3276800        	2.625536e+08   	2.539349e+03   	1.556256e+02   	6.297585e+05   	1.605183e+09   	248
2c1922b7	819200         	3.287040e+07   	6.837878e+02   	1.012279e+02   	1.319710e+05   	9.221787e+07   	193

####################
# 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
ff82dda0	7372800        	8.856576e+08   	6.297128e+03   	2.218514e+02   	1.542796e+06   	9.727245e+09   	245
d39bff17	3276800        	2.625536e+08   	2.528040e+03   	1.085312e+02   	7.255475e+05   	1.837594e+09   	287
2c1922b7	819200         	3.287040e+07   	6.470080e+02   	5.924722e+01   	1.598110e+05   	1.042660e+08   	247