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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 33587200 1.310720e+09 1.325410e+05 6.551456e+03 1.020565e+07 1.355972e+12 77
- 19d944cc 302284800 3.538944e+10 3.351379e+06 5.140990e+04 2.681103e+08 8.987506e+14 80
- 9e87ad36 134348800 1.048576e+10 1.018200e+06 1.999744e+04 8.145602e+07 8.297054e+13 80
- ####################
- # 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
- a904baa5 33587200 1.310720e+09 5.299792e+03 3.590016e+02 5.511784e+05 2.934534e+09 104
- 19d944cc 302284800 3.538944e+10 1.430442e+05 1.747241e+04 7.867431e+06 1.142181e+12 55
- 9e87ad36 134348800 1.048576e+10 3.517587e+04 1.024947e+02 3.623115e+06 1.274473e+11 103
- ####################
- # 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
- 1
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda1_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 33587200 1.310720e+09 5.301676e+03 3.783139e+02 5.460726e+05 2.909842e+09 103
- 19d944cc 302284800 3.538944e+10 1.433132e+05 1.648772e+04 7.738910e+06 1.123767e+12 54
- 9e87ad36 134348800 1.048576e+10 3.516032e+04 6.444220e+01 3.551193e+06 1.248615e+11 101
- ####################
- # 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
- 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 33587200 1.310720e+09 5.174822e+03 5.540579e+01 5.433563e+05 2.812095e+09 105
- 19d944cc 302284800 3.538944e+10 1.362048e+05 1.589418e+04 6.401628e+06 8.838060e+11 47
- 9e87ad36 134348800 1.048576e+10 3.562387e+04 2.173490e+03 3.598011e+06 1.286522e+11 101
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