##################
# 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
a904baa5	33587200       	1.310720e+09   	1.389650e+05   	2.221518e+03   	1.111720e+07   	1.545297e+12   	80
19d944cc	302284800      	3.538944e+10   	3.522057e+06   	7.908573e+04   	2.852866e+08   	1.005302e+15   	81
9e87ad36	134348800      	1.048576e+10   	1.082134e+06   	2.331687e+04   	8.657069e+07   	9.372454e+13   	80

####################
# 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
a904baa5	33587200       	1.310720e+09   	5.219321e+03   	1.052627e+02   	5.375900e+05   	2.806996e+09   	103
19d944cc	302284800      	3.538944e+10   	1.296586e+05   	9.187674e+03   	1.102098e+07   	1.436140e+12   	85
9e87ad36	134348800      	1.048576e+10   	3.558879e+04   	1.880737e+02   	3.736823e+06   	1.329927e+11   	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
a904baa5	33587200       	1.310720e+09   	5.294629e+03   	1.366974e+02   	5.506414e+05   	2.917386e+09   	104
19d944cc	302284800      	3.538944e+10   	1.293071e+05   	8.164654e+03   	1.137902e+07   	1.477255e+12   	88
9e87ad36	134348800      	1.048576e+10   	3.559057e+04   	1.877150e+02   	3.772600e+06   	1.342727e+11   	106

####################
# 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
a904baa5	33587200       	1.310720e+09   	5.223975e+03   	8.128456e+01   	5.380694e+05   	2.811542e+09   	103
19d944cc	302284800      	3.538944e+10   	1.298085e+05   	9.721517e+03   	1.129334e+07   	1.474194e+12   	87
9e87ad36	134348800      	1.048576e+10   	3.556314e+04   	1.481994e+02   	3.734130e+06   	1.327997e+11   	105