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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 8.483517e+04 1.709999e+04 1.781539e+06 1.572777e+11 21
- d39bff17 3276800 0.000000e+00 8.986208e+03 1.629610e+03 1.797242e+05 1.668151e+09 20
- 2c1922b7 819200 0.000000e+00 3.523655e+03 5.077738e+02 5.990214e+04 2.154576e+08 17
- ff82dda0 7372800 0.000000e+00 1.583302e+04 2.624137e+03 3.974089e+06 6.465024e+10 251
- ####################
- # 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 4.641113e+03 5.516013e+02 1.257742e+06 5.919777e+09 271
- d39bff17 3276800 0.000000e+00 8.365056e+02 1.344660e+02 1.396964e+05 1.198764e+08 167
- 2c1922b7 819200 0.000000e+00 2.882912e+02 5.271451e+01 7.409085e+04 2.207390e+07 257
- ff82dda0 7372800 0.000000e+00 1.570696e+03 2.281691e+02 4.115224e+05 6.600167e+08 262
- ####################
- # 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 4.556926e+03 5.099622e+02 1.048093e+06 4.835897e+09 230
- d39bff17 3276800 0.000000e+00 7.019049e+02 1.632697e+02 1.109010e+05 8.205375e+07 158
- 2c1922b7 819200 0.000000e+00 9.967334e+01 2.197557e+01 2.372225e+04 2.479413e+06 238
- ff82dda0 7372800 0.000000e+00 1.571709e+03 2.150516e+02 4.007858e+05 6.417117e+08 255
- ####################
- # 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 4.650733e+03 7.073225e+02 1.232444e+06 5.864350e+09 265
- d39bff17 3276800 0.000000e+00 8.352707e+02 1.515223e+02 1.587014e+05 1.369209e+08 190
- 2c1922b7 819200 0.000000e+00 2.858293e+02 5.241353e+01 7.460146e+04 2.204030e+07 261
- ff82dda0 7372800 0.000000e+00 1.569547e+03 2.419662e+02 2.589752e+05 4.161341e+08 165
- ####################
- # 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 4.671203e+03 5.859459e+02 1.331293e+06 6.316588e+09 285
- d39bff17 3276800 0.000000e+00 8.453596e+02 1.395049e+02 1.420204e+05 1.233279e+08 168
- 2c1922b7 819200 0.000000e+00 2.930233e+02 5.590601e+01 5.362326e+04 1.628483e+07 183
- ff82dda0 7372800 0.000000e+00 1.591448e+03 2.256700e+02 2.387172e+05 3.875451e+08 150
|
