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- ##################
- # Performance Model Version
- 44
- ####################
- # COMBs
- # number of combinations
- 4
- ####################
- # COMB_3
- # 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 (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
- a904baa5 16793600 1.310720e+09 6.707933e+04 7.224956e+02 5.433426e+06 3.645129e+11 81
- 19d944cc 151142400 3.538944e+10 1.796711e+06 3.314021e+04 1.455336e+08 2.615707e+14 81
- 9e87ad36 67174400 1.048576e+10 5.407828e+05 9.552098e+03 4.326263e+07 2.340299e+13 80
- ####################
- # 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
- a904baa5 16793600 1.310720e+09 3.517309e+03 1.972716e+02 3.658001e+05 1.290679e+09 104
- 19d944cc 151142400 3.538944e+10 5.914394e+04 3.899693e+02 6.210114e+06 3.673066e+11 105
- 9e87ad36 67174400 1.048576e+10 2.761071e+04 3.567319e+02 2.899125e+06 8.006027e+10 105
- ####################
- # 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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_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
- a904baa5 16793600 1.310720e+09 3.518071e+03 2.387327e+02 3.658794e+05 1.293117e+09 104
- 19d944cc 151142400 3.538944e+10 5.916943e+04 4.366031e+02 6.212790e+06 3.676273e+11 105
- 9e87ad36 67174400 1.048576e+10 2.760580e+04 5.909500e+01 2.926215e+06 8.078087e+10 106
- ####################
- # 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
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- a904baa5 16793600 1.310720e+09 3.497709e+03 1.653655e+02 3.672595e+05 1.287438e+09 105
- 19d944cc 151142400 3.538944e+10 5.899970e+04 4.129676e+02 6.194969e+06 3.655192e+11 105
- 9e87ad36 67174400 1.048576e+10 2.761335e+04 3.211454e+02 2.899402e+06 8.007303e+10 105
|
