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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
- 8cfc3ba0 24883200 0.000000e+00 1.164877e+05 2.576301e+04 2.054842e+08 2.510721e+13 1764
- f0ac7beb 4915200 0.000000e+00 1.087142e+04 2.109400e+03 2.505863e+07 2.826792e+11 2305
- d46431bb 1228800 0.000000e+00 1.613402e+03 3.115535e+02 8.438094e+06 1.412169e+10 5230
- 24c84a50 11059200 0.000000e+00 3.517390e+04 7.045528e+03 6.925741e+07 2.533794e+12 1969
- ####################
- # 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
- 8cfc3ba0 24883200 0.000000e+00 2.688252e+03 2.597845e+02 1.459721e+07 3.960743e+10 5430
- f0ac7beb 4915200 0.000000e+00 2.657700e+02 2.996380e+01 1.356225e+06 3.650255e+08 5103
- d46431bb 1228800 0.000000e+00 6.142508e+01 1.012391e+01 4.393736e+05 2.772170e+07 7153
- 24c84a50 11059200 0.000000e+00 7.851775e+02 4.684799e+01 4.315336e+06 3.400367e+09 5496
- ####################
- # 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
- 8cfc3ba0 24883200 0.000000e+00 2.707789e+03 2.773178e+02 1.421860e+07 3.890480e+10 5251
- f0ac7beb 4915200 0.000000e+00 2.693001e+02 2.710216e+01 1.308798e+06 3.560293e+08 4860
- d46431bb 1228800 0.000000e+00 6.592485e+01 1.426453e+01 1.071279e+05 7.393038e+06 1625
- 24c84a50 11059200 0.000000e+00 7.926860e+02 4.760061e+01 4.363736e+06 3.471546e+09 5505
- ####################
- # 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
- 8cfc3ba0 24883200 0.000000e+00 2.706383e+03 2.631153e+02 1.444938e+07 3.947516e+10 5339
- f0ac7beb 4915200 0.000000e+00 2.686331e+02 2.912062e+01 1.401996e+06 3.810483e+08 5219
- d46431bb 1228800 0.000000e+00 6.317490e+01 1.087216e+01 2.866877e+05 1.864788e+07 4538
- 24c84a50 11059200 0.000000e+00 7.922324e+02 5.091772e+01 4.156844e+06 3.306790e+09 5247
- ####################
- # 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
- 8cfc3ba0 24883200 0.000000e+00 2.681149e+03 2.665822e+02 1.451306e+07 3.929636e+10 5413
- f0ac7beb 4915200 0.000000e+00 2.642224e+02 2.666799e+01 1.450317e+06 3.871098e+08 5489
- d46431bb 1228800 0.000000e+00 5.975719e+01 9.345113e+00 4.033610e+05 2.469321e+07 6750
- 24c84a50 11059200 0.000000e+00 7.867204e+02 4.699968e+01 4.148377e+06 3.275261e+09 5273
|
