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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
- cea37d6d 409600 1.097392e+07 9.221097e+02 4.521529e+01 7.930143e+04 7.330044e+07 86
- 617e5fe6 3686400 2.953730e+08 1.884969e+04 7.370619e+02 2.111165e+06 3.985565e+10 112
- afdd228b 1638400 8.758624e+07 5.940712e+03 2.434960e+02 2.376285e+05 1.414054e+09 40
- ####################
- # 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
- 0
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda0_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
- cea37d6d 409600 1.097392e+07 2.918360e+03 1.924750e+02 2.918360e+04 8.553869e+07 10
- 617e5fe6 3686400 2.953730e+08 1.239445e+04 1.620572e+03 1.363389e+05 1.718735e+09 11
- afdd228b 1638400 8.758624e+07 5.044027e+03 9.860073e+02 6.052832e+04 3.169730e+08 12
- ####################
- # 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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_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
- cea37d6d 409600 1.097392e+07 3.820396e+03 6.009552e+02 3.820396e+04 1.495658e+08 10
- 617e5fe6 3686400 2.953730e+08 4.056348e+04 1.353308e+03 4.056348e+05 1.647228e+10 10
- afdd228b 1638400 8.758624e+07 1.146929e+04 1.466472e+03 1.146929e+05 1.336952e+09 10
- ####################
- # 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
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- cea37d6d 409600 1.097392e+07 2.847962e+03 2.297293e+02 2.847962e+04 8.163663e+07 10
- 617e5fe6 3686400 2.953730e+08 3.799962e+04 4.946563e+03 3.799962e+05 1.468440e+10 10
- afdd228b 1638400 8.758624e+07 1.204317e+04 9.253606e+02 1.204317e+05 1.458942e+09 10
|
