##################
# 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	16793600       	1.310720e+09   	6.437897e+04   	1.392917e+03   	4.699665e+06   	3.027012e+11   	73
19d944cc	151142400      	3.538944e+10   	1.651467e+06   	2.533878e+04   	1.321174e+08   	2.182388e+14   	80
9e87ad36	67174400       	1.048576e+10   	4.988315e+05   	1.083517e+04   	3.990652e+07   	1.991602e+13   	80

####################
# 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 
0
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda0_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	16793600       	1.310720e+09   	3.518696e+03   	2.456600e+02   	3.659444e+05   	1.293924e+09   	104
19d944cc	151142400      	3.538944e+10   	5.651725e+04   	3.211294e+03   	4.973518e+06   	2.819970e+11   	88
9e87ad36	67174400       	1.048576e+10   	2.754677e+04   	3.854974e+02   	2.919957e+06   	8.045113e+10   	106

####################
# 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
a904baa5	16793600       	1.310720e+09   	3.519726e+03   	2.643171e+02   	3.660515e+05   	1.295666e+09   	104
19d944cc	151142400      	3.538944e+10   	5.631482e+04   	2.073911e+03   	4.955704e+06   	2.794581e+11   	88
9e87ad36	67174400       	1.048576e+10   	2.756588e+04   	3.850160e+02   	2.894417e+06   	7.980271e+10   	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
a904baa5	16793600       	1.310720e+09   	3.490259e+03   	2.149136e+02   	3.699675e+05   	1.296178e+09   	106
19d944cc	151142400      	3.538944e+10   	5.827658e+04   	5.717882e+03   	5.477999e+06   	3.223123e+11   	94
9e87ad36	67174400       	1.048576e+10   	2.758960e+04   	5.859871e+01   	2.896907e+06   	7.992487e+10   	105