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- ##################
- # Performance Model Version
- 44
- ####################
- # COMBs
- # number of combinations
- 5
- ####################
- # COMB_0
- # 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 (Comb0)
- # number of entries
- 4
- # 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
- 24c84a50 22118400 0.000000e+00 1.754881e+03 1.567907e+02 8.516439e+06 1.506464e+10 4853
- d46431bb 2457600 0.000000e+00 9.227862e+01 1.339393e+01 6.585925e+05 6.205436e+07 7137
- f0ac7beb 9830400 0.000000e+00 5.560171e+02 4.481480e+01 2.452035e+06 1.372230e+09 4410
- 8cfc3ba0 49766400 0.000000e+00 5.688840e+03 4.278238e+02 1.962081e+07 1.122509e+11 3449
- ####################
- # 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
- 3
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda3_impl0 (Comb3)
- # number of entries
- 4
- # 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
- 24c84a50 22118400 0.000000e+00 1.725012e+03 1.556789e+02 8.775134e+06 1.526049e+10 5087
- d46431bb 2457600 0.000000e+00 9.099306e+01 1.290433e+01 7.117477e+05 6.606663e+07 7822
- f0ac7beb 9830400 0.000000e+00 5.497124e+02 4.364744e+01 2.308242e+06 1.276869e+09 4199
- 8cfc3ba0 49766400 0.000000e+00 5.591076e+03 4.188165e+02 1.997692e+07 1.123192e+11 3573
- ####################
- # 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
- 4
- # 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
- 24c84a50 22118400 0.000000e+00 1.724207e+03 1.559700e+02 8.529651e+06 1.482723e+10 4947
- d46431bb 2457600 0.000000e+00 9.395983e+01 1.410875e+01 5.884704e+05 5.653928e+07 6263
- f0ac7beb 9830400 0.000000e+00 5.531811e+02 3.935565e+01 3.264875e+06 1.815209e+09 5902
- 8cfc3ba0 49766400 0.000000e+00 5.682607e+03 4.627422e+02 2.006529e+07 1.147792e+11 3531
- ####################
- # COMB_4
- # 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 (Comb4)
- # number of entries
- 4
- # 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
- 24c84a50 22118400 0.000000e+00 6.659236e+04 1.142300e+04 1.507651e+08 1.033522e+13 2264
- d46431bb 2457600 0.000000e+00 3.623237e+03 8.721045e+02 1.668138e+07 6.394225e+10 4604
- f0ac7beb 9830400 0.000000e+00 2.355764e+04 4.984182e+03 4.405279e+07 1.084235e+12 1870
- 8cfc3ba0 49766400 0.000000e+00 2.164742e+05 3.673582e+04 3.325044e+08 7.405148e+13 1536
- ####################
- # 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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_impl0 (Comb1)
- # number of entries
- 4
- # 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
- 24c84a50 22118400 0.000000e+00 1.746747e+03 1.539679e+02 8.628932e+06 1.518967e+10 4940
- d46431bb 2457600 0.000000e+00 9.539483e+01 1.447066e+01 7.032507e+05 6.863017e+07 7372
- f0ac7beb 9830400 0.000000e+00 5.601014e+02 3.783630e+01 3.218342e+06 1.810824e+09 5746
- 8cfc3ba0 49766400 0.000000e+00 5.710157e+03 4.302245e+02 2.027106e+07 1.164080e+11 3550
|
