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- ##################
- # Performance Model Version
- 45
- ####################
- # COMBs
- # number of combinations
- 5
- ####################
- # COMB_0
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 4af260f6 14678040 0.000000e+00 3.501046e+01 7.466097e+00 2.835847e+04 1.037995e+06 810
- fb4b8624 4427800 0.000000e+00 2.773216e+01 6.482940e+00 1.680846e+05 4.916085e+06 6061
- f2ff9ae5 34480152 0.000000e+00 5.337509e+01 1.160081e+01 6.591824e+04 3.684596e+06 1235
- ####################
- # COMB_1
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 1
- ####################
- # DEV_0
- # device id
- 3
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda3_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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 4af260f6 14678040 0.000000e+00 3.362211e+01 7.569501e+00 1.795421e+04 6.342550e+05 534
- fb4b8624 4427800 0.000000e+00 3.231969e+01 5.862640e+00 1.877774e+04 6.268602e+05 581
- f2ff9ae5 34480152 0.000000e+00 3.995777e+01 9.699452e+00 3.180638e+04 1.345799e+06 796
- ####################
- # COMB_2
- # 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 (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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 4af260f6 14678040 0.000000e+00 3.654429e+01 8.110997e+00 1.710273e+04 6.557958e+05 468
- fb4b8624 4427800 0.000000e+00 3.606370e+01 8.402269e+00 2.171034e+04 8.254553e+05 602
- f2ff9ae5 34480152 0.000000e+00 3.192218e+01 6.956874e+00 1.695068e+04 5.668019e+05 531
- ####################
- # COMB_3
- # 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 (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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 4af260f6 14678040 0.000000e+00 3.551068e+01 7.784366e+00 1.278384e+04 4.757777e+05 360
- fb4b8624 4427800 0.000000e+00 3.460669e+01 7.284566e+00 1.996806e+04 7.216470e+05 577
- f2ff9ae5 34480152 0.000000e+00 3.547098e+01 8.430109e+00 2.805755e+04 1.051443e+06 791
- ####################
- # COMB_4
- # 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 (Comb4)
- # 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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 4af260f6 14678040 0.000000e+00 3.712899e+01 8.969310e+00 2.030956e+04 7.980787e+05 547
- fb4b8624 4427800 0.000000e+00 3.619911e+01 8.162351e+00 2.287784e+04 8.702638e+05 632
- f2ff9ae5 34480152 0.000000e+00 3.132201e+01 6.179930e+00 2.584066e+04 8.408892e+05 825
|
