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- ##################
- # 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
- 49ec0825 34613280 0.000000e+00 7.774706e+04 9.102018e+02 4.664824e+06 3.627260e+11 60
- 6d78e48f 4461600 0.000000e+00 9.929947e+03 1.596124e+02 1.797320e+06 1.785191e+10 181
- 8ec75d42 14753312 0.000000e+00 3.310870e+04 5.189822e+02 1.920304e+06 6.359440e+10 58
- ####################
- # 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
- 0
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda0_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
- 49ec0825 34613280 0.000000e+00 5.051327e+03 6.437605e+02 2.692357e+06 1.382086e+10 533
- 6d78e48f 4461600 0.000000e+00 1.009230e+03 9.724548e+01 3.835076e+05 3.906410e+08 380
- 8ec75d42 14753312 0.000000e+00 1.883088e+03 3.340290e+02 1.069594e+06 2.077513e+09 568
- ####################
- # 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
- 49ec0825 34613280 0.000000e+00 5.105276e+03 6.922431e+02 2.807902e+06 1.459867e+10 550
- 6d78e48f 4461600 0.000000e+00 1.012651e+03 9.766669e+01 3.686049e+05 3.767403e+08 364
- 8ec75d42 14753312 0.000000e+00 2.097710e+03 2.383227e+02 9.880215e+05 2.099334e+09 471
- ####################
- # 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
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- 49ec0825 34613280 0.000000e+00 4.938766e+03 7.348710e+02 2.780525e+06 1.403640e+10 563
- 6d78e48f 4461600 0.000000e+00 1.022015e+03 1.088844e+02 3.740577e+05 3.866319e+08 366
- 8ec75d42 14753312 0.000000e+00 1.829845e+03 3.604651e+02 8.893047e+05 1.690438e+09 486
|
