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- ##################
- # Performance Model Version
- 44
- ####################
- # COMBs
- # number of combinations
- 5
- ####################
- # 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
- 617e5fe6 7372800 0.000000e+00 1.778570e+05 1.735127e+04 1.778570e+06 3.193419e+11 10
- cea37d6d 819200 0.000000e+00 5.904224e+03 6.575598e+02 5.668055e+05 3.388055e+09 96
- afdd228b 3276800 0.000000e+00 4.953149e+04 6.709149e+03 6.439093e+05 3.247895e+10 13
- 25ebb669 16588800 0.000000e+00 7.801727e+05 1.214440e+05 7.801727e+06 6.234180e+12 10
- ####################
- # 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
- 617e5fe6 7372800 0.000000e+00 5.552387e+04 5.714037e+03 1.054954e+06 5.919546e+10 19
- cea37d6d 819200 0.000000e+00 9.707597e+03 9.439210e+02 9.707597e+04 9.512842e+08 10
- afdd228b 3276800 0.000000e+00 2.633937e+04 3.608518e+03 3.950905e+05 1.060175e+10 15
- 25ebb669 16588800 0.000000e+00 1.397955e+05 9.676594e+03 1.537750e+06 2.160006e+11 11
- ####################
- # 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
- 617e5fe6 7372800 0.000000e+00 5.675882e+04 6.232185e+03 1.248694e+06 7.172888e+10 22
- cea37d6d 819200 0.000000e+00 9.541018e+03 9.285702e+02 9.541018e+04 9.189326e+08 10
- afdd228b 3276800 0.000000e+00 2.651477e+04 2.554649e+03 3.181772e+05 8.514711e+09 12
- 25ebb669 16588800 0.000000e+00 1.382255e+05 7.304438e+03 1.382255e+06 1.915965e+11 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
- 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
- 617e5fe6 7372800 0.000000e+00 5.624387e+04 5.549003e+03 8.436581e+05 4.791247e+10 15
- cea37d6d 819200 0.000000e+00 9.661577e+03 7.114114e+02 9.661577e+04 9.385217e+08 10
- afdd228b 3276800 0.000000e+00 2.574090e+04 2.071791e+03 5.148179e+05 1.333772e+10 20
- 25ebb669 16588800 0.000000e+00 1.361676e+05 1.958095e+03 1.770178e+06 2.410907e+11 13
- ####################
- # 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
- 617e5fe6 7372800 0.000000e+00 5.895007e+04 8.369498e+03 7.663509e+05 4.608707e+10 13
- cea37d6d 819200 0.000000e+00 9.910778e+03 1.200981e+03 9.910778e+04 9.966588e+08 10
- afdd228b 3276800 0.000000e+00 2.572979e+04 2.095041e+03 5.917851e+05 1.532746e+10 23
- 25ebb669 16588800 0.000000e+00 1.422314e+05 1.728252e+04 1.422314e+06 2.052844e+11 10
|
