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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
- ff82dda0 14745600 0.000000e+00 4.935132e+04 1.056942e+04 1.875350e+06 9.679609e+10 38
- 2c1922b7 1638400 0.000000e+00 1.386830e+03 2.636504e+02 1.256468e+06 1.805486e+09 906
- d39bff17 6553600 0.000000e+00 1.762919e+04 3.396463e+03 6.170218e+05 1.128135e+10 35
- 0e8bce2b 33177600 0.000000e+00 2.090375e+05 4.666688e+04 3.762675e+06 8.257406e+11 18
- ####################
- # 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
- ff82dda0 14745600 0.000000e+00 2.580226e+03 3.710017e+02 5.495882e+05 1.447380e+09 213
- 2c1922b7 1638400 0.000000e+00 3.441326e+02 6.695097e+01 4.267244e+04 1.524080e+07 124
- d39bff17 6553600 0.000000e+00 9.089165e+02 1.570596e+02 1.590604e+05 1.488895e+08 175
- 0e8bce2b 33177600 0.000000e+00 5.659456e+03 7.119452e+02 1.058318e+06 6.084289e+09 187
- ####################
- # 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
- 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
- ff82dda0 14745600 0.000000e+00 2.485190e+03 3.288259e+02 6.188122e+05 1.564789e+09 249
- 2c1922b7 1638400 0.000000e+00 3.565977e+02 7.541526e+01 3.672956e+04 1.368348e+07 103
- d39bff17 6553600 0.000000e+00 9.441529e+02 1.527244e+02 2.398148e+05 2.323464e+08 254
- 0e8bce2b 33177600 0.000000e+00 5.713813e+03 7.827526e+02 8.456444e+05 4.922534e+09 148
- ####################
- # 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
- ff82dda0 14745600 0.000000e+00 2.615067e+03 4.428563e+02 5.334737e+05 1.435078e+09 204
- 2c1922b7 1638400 0.000000e+00 3.667814e+02 6.561130e+01 3.227676e+04 1.221734e+07 88
- d39bff17 6553600 0.000000e+00 9.018562e+02 1.587421e+02 1.470026e+05 1.366826e+08 163
- 0e8bce2b 33177600 0.000000e+00 5.604694e+03 6.527594e+02 1.132148e+06 6.431415e+09 202
- ####################
- # 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
- 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
- ff82dda0 14745600 0.000000e+00 2.480709e+03 3.749281e+02 4.514890e+05 1.145597e+09 182
- 2c1922b7 1638400 0.000000e+00 3.718262e+02 7.249781e+01 2.342505e+04 9.041172e+06 63
- d39bff17 6553600 0.000000e+00 9.130900e+02 1.739240e+02 2.182285e+05 2.064919e+08 239
- 0e8bce2b 33177600 0.000000e+00 5.804941e+03 6.806052e+02 9.113758e+05 5.363209e+09 157
|
