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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 6.437897e+04 1.392917e+03 4.699665e+06 3.027012e+11 73
- 19d944cc 151142400 3.538944e+10 1.651467e+06 2.533878e+04 1.321174e+08 2.182388e+14 80
- 9e87ad36 67174400 1.048576e+10 4.988315e+05 1.083517e+04 3.990652e+07 1.991602e+13 80
- ####################
- # 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
- 0
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda0_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 3.518696e+03 2.456600e+02 3.659444e+05 1.293924e+09 104
- 19d944cc 151142400 3.538944e+10 5.651725e+04 3.211294e+03 4.973518e+06 2.819970e+11 88
- 9e87ad36 67174400 1.048576e+10 2.754677e+04 3.854974e+02 2.919957e+06 8.045113e+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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_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 3.519726e+03 2.643171e+02 3.660515e+05 1.295666e+09 104
- 19d944cc 151142400 3.538944e+10 5.631482e+04 2.073911e+03 4.955704e+06 2.794581e+11 88
- 9e87ad36 67174400 1.048576e+10 2.756588e+04 3.850160e+02 2.894417e+06 7.980271e+10 105
- ####################
- # 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
- a904baa5 16793600 1.310720e+09 3.490259e+03 2.149136e+02 3.699675e+05 1.296178e+09 106
- 19d944cc 151142400 3.538944e+10 5.827658e+04 5.717882e+03 5.477999e+06 3.223123e+11 94
- 9e87ad36 67174400 1.048576e+10 2.758960e+04 5.859871e+01 2.896907e+06 7.992487e+10 105
|
