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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
- 0e8bce2b 16588800 0.000000e+00 5.637990e+04 1.036285e+04 8.118706e+06 4.731958e+11 144
- d39bff17 3276800 0.000000e+00 5.106660e+03 6.848530e+02 2.134584e+06 1.109665e+10 418
- 2c1922b7 819200 0.000000e+00 4.245334e+03 7.020174e+02 6.368000e+04 2.777353e+08 15
- ff82dda0 7372800 0.000000e+00 1.726784e+04 3.264426e+03 3.021872e+06 5.404608e+10 175
- ####################
- # 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 0.000000e+00 5.668892e+03 6.964909e+02 1.394547e+06 8.024874e+09 246
- d39bff17 3276800 0.000000e+00 1.216432e+03 1.410794e+02 1.934127e+05 2.384382e+08 159
- 2c1922b7 819200 0.000000e+00 4.901281e+02 6.729653e+01 6.616730e+04 3.304185e+07 135
- ff82dda0 7372800 0.000000e+00 2.106719e+03 2.638200e+02 5.646006e+05 1.208108e+09 268
- ####################
- # 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 0.000000e+00 5.677828e+03 6.218985e+02 1.311578e+06 7.536257e+09 231
- d39bff17 3276800 0.000000e+00 1.199302e+03 1.658297e+02 1.774966e+05 2.169419e+08 148
- 2c1922b7 819200 0.000000e+00 4.968224e+02 7.860110e+01 5.415364e+04 2.757816e+07 109
- ff82dda0 7372800 0.000000e+00 2.138085e+03 2.696288e+02 6.371492e+05 1.383944e+09 298
- ####################
- # 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
- 0e8bce2b 16588800 0.000000e+00 5.593766e+03 7.653530e+02 1.510317e+06 8.606516e+09 270
- d39bff17 3276800 0.000000e+00 1.148300e+03 2.163448e+02 2.021009e+05 2.403102e+08 176
- 2c1922b7 819200 0.000000e+00 8.901347e+01 1.918734e+01 2.412265e+04 2.247011e+06 271
- ff82dda0 7372800 0.000000e+00 2.196957e+03 3.265420e+02 4.349975e+05 9.767837e+08 198
- ####################
- # 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 0.000000e+00 5.652338e+03 6.245997e+02 1.520479e+06 8.699205e+09 269
- d39bff17 3276800 0.000000e+00 1.203544e+03 1.679024e+02 2.286733e+05 2.805746e+08 190
- 2c1922b7 819200 0.000000e+00 4.930666e+02 7.623523e+01 7.642532e+04 3.858360e+07 155
- ff82dda0 7372800 0.000000e+00 2.164310e+03 2.607466e+02 4.869698e+05 1.069251e+09 225
|
