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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
- 0e8bce2b 16588800 2.988058e+09 6.085177e+04 1.761936e+04 4.551712e+07 3.002008e+12 748
- ff82dda0 7372800 8.856576e+08 1.775772e+04 3.736007e+03 2.386637e+07 4.425714e+11 1344
- d39bff17 3276800 2.625536e+08 5.276862e+03 9.789431e+02 7.070995e+06 3.859682e+10 1340
- 2c1922b7 819200 3.287040e+07 7.675336e+02 1.464194e+02 2.842177e+06 2.260854e+09 3703
- ####################
- # 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
- 0e8bce2b 16588800 2.988058e+09 5.422549e+03 1.109859e+03 2.917331e+06 1.648207e+10 538
- ff82dda0 7372800 8.856576e+08 2.018325e+03 2.870643e+02 1.687320e+06 3.474450e+09 836
- d39bff17 3276800 2.625536e+08 1.179394e+03 1.705358e+02 3.538181e+05 4.260157e+08 300
- 2c1922b7 819200 3.287040e+07 4.644748e+02 7.687001e+01 3.297771e+04 1.573685e+07 71
- ####################
- # 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
- 0e8bce2b 16588800 2.988058e+09 5.480822e+03 1.130650e+03 2.899355e+06 1.656711e+10 529
- ff82dda0 7372800 8.856576e+08 2.005118e+03 2.787124e+02 1.836689e+06 3.753933e+09 916
- d39bff17 3276800 2.625536e+08 1.227664e+03 1.874122e+02 2.970946e+05 3.732321e+08 242
- 2c1922b7 819200 3.287040e+07 4.209987e+02 9.547071e+01 6.441281e+04 2.851225e+07 153
- ####################
- # 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
- 0e8bce2b 16588800 2.988058e+09 5.510320e+03 1.138149e+03 2.992104e+06 1.719084e+10 543
- ff82dda0 7372800 8.856576e+08 2.005118e+03 2.787124e+02 1.836689e+06 3.753933e+09 916
- d39bff17 3276800 2.625536e+08 1.227664e+03 1.874122e+02 2.970946e+05 3.732321e+08 242
- 2c1922b7 819200 3.287040e+07 4.209987e+02 9.547071e+01 6.441281e+04 2.851225e+07 153
- ####################
- # 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
- 0e8bce2b 16588800 2.988058e+09 5.534879e+03 1.226333e+03 3.210230e+06 1.864049e+10 580
- ff82dda0 7372800 8.856576e+08 2.051755e+03 2.742098e+02 1.811700e+06 3.783559e+09 883
- d39bff17 3276800 2.625536e+08 1.153240e+03 1.913332e+02 3.194475e+05 3.785401e+08 277
- 2c1922b7 819200 3.287040e+07 4.950127e+02 6.747714e+01 5.445140e+04 2.745498e+07 110
|
