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							- ##################
 
- #	Performance	Model	Version
 
- 45
 
- ####################
 
- # COMBs
 
- # number of combinations
 
- 3
 
- ####################
 
- # COMB_1
 
- # number of types devices
 
- 1
 
- ####################
 
- # DEV_0
 
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
 
- 1
 
- ####################
 
- # DEV_0
 
- # device id 
 
- 0
 
- ####################
 
- # DEV_0
 
- # number of cores 
 
- 1
 
- ##########
 
- # number of implementations
 
- 1
 
- #####
 
- # Model for cuda0_impl0 (Comb1)
 
- #	number	of	entries
 
- 1
 
- #	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
 
- # not multiple-regression-base
 
- 0
 
- #	hash	size	flops	mean	(us)	dev	(us)	sum	sum2	n
 
- 617e5fe6	3686400	0.000000e+00	1.250229e+05	4.416720e+03	1.500275e+06	1.878028e+11	12
 
- ####################
 
- # COMB_2
 
- # number of types devices
 
- 1
 
- ####################
 
- # DEV_0
 
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
 
- 1
 
- ####################
 
- # DEV_0
 
- # device id 
 
- 1
 
- ####################
 
- # DEV_0
 
- # number of cores 
 
- 1
 
- ##########
 
- # number of implementations
 
- 1
 
- #####
 
- # Model for cuda1_impl0 (Comb2)
 
- #	number	of	entries
 
- 1
 
- #	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
 
- # not multiple-regression-base
 
- 0
 
- #	hash	size	flops	mean	(us)	dev	(us)	sum	sum2	n
 
- 617e5fe6	3686400	0.000000e+00	8.424585e+04	1.140908e+03	4.802014e+07	4.046239e+12	570
 
- ####################
 
- # COMB_3
 
- # number of types devices
 
- 1
 
- ####################
 
- # DEV_0
 
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
 
- 1
 
- ####################
 
- # DEV_0
 
- # device id 
 
- 2
 
- ####################
 
- # DEV_0
 
- # number of cores 
 
- 1
 
- ##########
 
- # number of implementations
 
- 1
 
- #####
 
- # Model for cuda2_impl0 (Comb3)
 
- #	number	of	entries
 
- 1
 
- #	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
 
- # not multiple-regression-base
 
- 0
 
- #	hash	size	flops	mean	(us)	dev	(us)	sum	sum2	n
 
- 617e5fe6	3686400	0.000000e+00	8.331807e+04	6.460292e+02	5.782274e+07	4.817969e+12	694
 
 
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