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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
 
- 24c84a50	11059200	0.000000e+00	5.116253e+03	1.361494e+03	9.170526e+08	5.024130e+12	179243
 
- ####################
 
- # 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
 
- 24c84a50	11059200	0.000000e+00	5.228920e+03	1.967478e+03	8.761527e+08	5.229949e+12	167559
 
- ####################
 
- # 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
 
- 24c84a50	11059200	0.000000e+00	5.131691e+03	1.494139e+03	8.920059e+08	4.965550e+12	173823
 
 
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