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- ##################
- # Performance Model Version
- 44
- ####################
- # COMBs
- # number of combinations
- 4
- ####################
- # 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
- 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
- f2ff9ae5 34480152 0.000000e+00 4.346555e+01 9.370422e+00 2.103733e+04 9.568966e+05 484
- fb4b8624 4427800 0.000000e+00 1.080055e+01 2.408554e+00 6.631537e+03 7.518614e+04 614
- 4af260f6 14678040 0.000000e+00 2.045608e+01 4.186697e+00 1.294870e+04 2.759751e+05 633
- ####################
- # 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
- 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
- f2ff9ae5 34480152 0.000000e+00 3.184284e+01 5.707419e+00 4.840111e+03 1.590742e+05 152
- fb4b8624 4427800 0.000000e+00 3.194475e+01 5.964283e+00 1.150011e+03 3.801743e+04 36
- 4af260f6 14678040 0.000000e+00 3.430576e+01 6.297323e+00 5.523228e+03 1.958632e+05 161
- ####################
- # 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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_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
- f2ff9ae5 34480152 0.000000e+00 2.735681e+01 5.823931e+00 3.063963e+03 8.761910e+04 112
- fb4b8624 4427800 0.000000e+00 3.161427e+01 5.733859e+00 2.212999e+03 7.226375e+04 70
- 4af260f6 14678040 0.000000e+00 3.666193e+01 6.692591e+00 6.819119e+03 2.583331e+05 186
- ####################
- # 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
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- f2ff9ae5 34480152 0.000000e+00 3.900993e+01 8.465923e+00 7.489907e+03 3.059418e+05 192
- fb4b8624 4427800 0.000000e+00 3.364966e+01 7.354940e+00 1.278687e+03 4.508300e+04 38
- 4af260f6 14678040 0.000000e+00 2.853135e+01 5.469952e+00 8.730594e+03 2.582513e+05 306
|
