##################
# 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
cea37d6d	409600         	1.097392e+07   	9.221097e+02   	4.521529e+01   	7.930143e+04   	7.330044e+07   	86
617e5fe6	3686400        	2.953730e+08   	1.884969e+04   	7.370619e+02   	2.111165e+06   	3.985565e+10   	112
afdd228b	1638400        	8.758624e+07   	5.940712e+03   	2.434960e+02   	2.376285e+05   	1.414054e+09   	40

####################
# 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
617e5fe6	3686400        	2.953730e+08   	5.366740e+03   	9.457424e+01   	1.556354e+05   	8.355143e+08   	29
cea37d6d	409600         	1.097392e+07   	2.003232e+03   	2.738589e+01   	5.809372e+04   	1.163969e+08   	29
afdd228b	1638400        	8.758624e+07   	3.522008e+03   	5.701992e+01   	1.021382e+05   	3.598259e+08   	29

####################
# 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
afdd228b	1638400        	8.758624e+07   	3.775579e+03   	6.170997e+01   	1.094918e+05   	4.135053e+08   	29
cea37d6d	409600         	1.097392e+07   	2.237869e+03   	3.535637e+01   	6.489820e+04   	1.452699e+08   	29
617e5fe6	3686400        	2.953730e+08   	5.557011e+03   	6.001156e+01   	1.611533e+05   	8.956353e+08   	29

####################
# 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 
2
####################
# DEV_0
# number of cores 
1
##########
# number of implementations
1
#####
# Model for cuda2_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
617e5fe6	3686400        	2.953730e+08   	5.500099e+03   	6.565775e+01   	1.595029e+05   	8.774066e+08   	29
cea37d6d	409600         	1.097392e+07   	2.220120e+03   	2.867670e+01   	6.438348e+04   	1.429629e+08   	29
afdd228b	1638400        	8.758624e+07   	3.742877e+03   	5.898784e+01   	1.085434e+05   	4.063656e+08   	29