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- ##################
- # Performance Model Version
- 45
- ####################
- # COMBs
- # number of combinations
- 5
- ####################
- # COMB_2
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 492beed5 66355200 7.077888e+09 6.467396e+03 5.820387e+02 1.403425e+06 9.150018e+09 217
- 0b0b0ce8 7372800 2.621440e+08 2.828637e+02 4.132770e+01 2.376055e+04 6.864469e+06 84
- 4220e23d 29491200 2.097152e+09 2.091138e+03 2.430963e+02 3.764048e+05 7.977516e+08 180
- 87a7dc42 149299200 2.388787e+10 2.171545e+04 9.979353e+02 3.431041e+06 7.466394e+10 158
- ####################
- # COMB_0
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 1
- ####################
- # DEV_0
- # device id
- 3
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda3_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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 492beed5 66355200 7.077888e+09 6.530201e+03 6.982602e+02 1.214617e+06 8.022384e+09 186
- 0b0b0ce8 7372800 2.621440e+08 2.596160e+02 3.720670e+01 2.907699e+04 7.703898e+06 112
- 4220e23d 29491200 2.097152e+09 2.068075e+03 2.561461e+02 4.156832e+05 8.728519e+08 201
- 87a7dc42 149299200 2.388787e+10 2.178854e+04 1.485331e+03 3.355435e+06 7.344977e+10 154
- ####################
- # COMB_1
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 492beed5 66355200 7.077888e+09 6.594324e+03 6.341124e+02 1.384808e+06 9.216313e+09 210
- 0b0b0ce8 7372800 2.621440e+08 2.592059e+02 3.728165e+01 2.773503e+04 7.337807e+06 107
- 4220e23d 29491200 2.097152e+09 2.149687e+03 2.853500e+02 3.847940e+05 8.417616e+08 179
- 87a7dc42 149299200 2.388787e+10 2.210351e+04 9.525598e+02 3.426044e+06 7.586825e+10 155
- ####################
- # COMB_3
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 1
- ####################
- # DEV_0
- # device id
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 492beed5 66355200 7.077888e+09 6.615698e+03 6.959563e+02 1.210673e+06 8.098082e+09 183
- 0b0b0ce8 7372800 2.621440e+08 2.665077e+02 3.721734e+01 3.278045e+04 8.906615e+06 123
- 4220e23d 29491200 2.097152e+09 2.090283e+03 2.730830e+02 4.285080e+05 9.109906e+08 205
- 87a7dc42 149299200 2.388787e+10 2.206407e+04 1.175820e+03 3.397867e+06 7.518367e+10 154
- ####################
- # COMB_4
- # number of types devices
- 1
- ####################
- # DEV_0
- # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
- 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
- # not multiple-regression-base
- 0
- # hash size flops mean (us) dev (us) sum sum2 n
- 492beed5 66355200 7.077888e+09 2.793361e+05 4.545353e+04 2.039154e+07 5.846913e+12 73
- 0b0b0ce8 7372800 2.621440e+08 1.003329e+04 9.763114e+02 3.471519e+06 3.516056e+10 346
- 4220e23d 29491200 2.097152e+09 8.266143e+04 1.577004e+04 6.860899e+06 5.877733e+11 83
- 87a7dc42 149299200 2.388787e+10 9.422627e+05 1.729617e+05 1.517043e+08 1.477617e+14 161
|
