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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)
- 0
- ####################
- # DEV_0
- # device id
- 0
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cpu0_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
- 25ebb669 8294400 9.963650e+08 1.842284e+04 2.612920e+03 1.271176e+06 2.388975e+10 69
- 617e5fe6 3686400 2.953730e+08 7.379027e+03 1.089221e+03 5.903221e+05 4.450915e+09 80
- afdd228b 1638400 8.758624e+07 2.799281e+03 5.546704e+02 2.323403e+05 6.759213e+08 83
- cea37d6d 409600 1.097392e+07 4.391691e+02 4.300491e+01 7.597626e+04 3.368638e+07 173
- ####################
- # 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
- 25ebb669 8294400 9.963650e+08 4.852293e+04 1.266847e+04 4.852293e+05 2.514965e+10 10
- 617e5fe6 3686400 2.953730e+08 7.699799e+03 1.513211e+03 9.239759e+04 7.389205e+08 12
- afdd228b 1638400 8.758624e+07 5.010966e+03 7.544427e+02 5.010965e+04 2.567896e+08 10
- cea37d6d 409600 1.097392e+07 3.343709e+03 3.943178e+02 3.343709e+04 1.133588e+08 10
- ####################
- # 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
- 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
- 25ebb669 8294400 9.963650e+08 3.188534e+04 1.123169e+04 3.188534e+05 1.142826e+10 10
- 617e5fe6 3686400 2.953730e+08 8.514691e+03 1.568765e+03 9.366160e+04 8.245709e+08 11
- afdd228b 1638400 8.758624e+07 5.436465e+03 1.325711e+03 5.436465e+04 3.131266e+08 10
- cea37d6d 409600 1.097392e+07 3.336739e+03 3.113015e+02 3.336739e+04 1.123074e+08 10
- ####################
- # 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
- 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
- 25ebb669 8294400 9.963650e+08 3.051372e+04 1.107281e+04 3.051372e+05 1.053694e+10 10
- 617e5fe6 3686400 2.953730e+08 8.456328e+03 1.411439e+03 1.014759e+05 8.820196e+08 12
- afdd228b 1638400 8.758624e+07 4.996835e+03 9.396038e+02 4.996835e+04 2.585122e+08 10
- cea37d6d 409600 1.097392e+07 3.060839e+03 4.968177e+01 3.060839e+04 9.371202e+07 10
- ####################
- # COMB_4
- # 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 (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
- 25ebb669 8294400 9.963650e+08 1.332935e+04 3.063746e+03 2.132696e+05 2.992929e+09 16
- 617e5fe6 3686400 2.953730e+08 8.333388e+03 1.108400e+03 1.000007e+05 8.480868e+08 12
- afdd228b 1638400 8.758624e+07 5.517925e+03 1.047059e+03 5.517925e+04 3.154382e+08 10
- cea37d6d 409600 1.097392e+07 3.435367e+03 2.405829e+02 3.435367e+04 1.185962e+08 10
|
