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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 3.447447e+01 7.398265e+00 3.237153e+04 1.167387e+06 939
- fb4b8624 4427800 0.000000e+00 5.439097e+01 1.253425e+01 3.094846e+05 1.772711e+07 5690
- f2ff9ae5 34480152 0.000000e+00 5.041329e+01 1.085485e+01 6.226042e+04 3.284270e+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 3.176283e+01 6.812714e+00 1.673901e+04 5.561382e+05 527
- fb4b8624 4427800 0.000000e+00 5.311651e+01 1.346481e+01 1.290731e+04 7.296474e+05 243
- f2ff9ae5 34480152 0.000000e+00 4.192896e+01 9.759572e+00 3.207566e+04 1.417765e+06 765
- ####################
- # 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 3.786531e+01 9.328071e+00 1.991715e+04 7.999380e+05 526
- fb4b8624 4427800 0.000000e+00 5.555598e+01 1.303330e+01 9.444517e+03 5.535768e+05 170
- f2ff9ae5 34480152 0.000000e+00 4.359390e+01 1.022197e+01 2.218929e+04 1.020503e+06 509
- ####################
- # 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 4.035980e+01 9.947105e+00 1.989738e+04 8.518341e+05 493
- fb4b8624 4427800 0.000000e+00 8.863692e+01 1.909792e+01 1.161144e+04 1.076982e+06 131
- f2ff9ae5 34480152 0.000000e+00 3.838146e+01 9.359960e+00 2.890124e+04 1.175241e+06 753
- ####################
- # 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 3.505264e+01 8.845541e+00 1.945422e+04 7.253469e+05 555
- fb4b8624 4427800 0.000000e+00 4.717545e+01 1.027132e+01 6.227160e+03 3.076951e+05 132
- f2ff9ae5 34480152 0.000000e+00 3.110432e+01 6.170515e+00 2.370149e+04 7.662320e+05 762
|
