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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
- 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
- ff82dda0 14745600 0.000000e+00 3.402547e+04 6.005726e+03 7.111323e+06 2.495045e+11 209
- 2c1922b7 1638400 0.000000e+00 6.443940e+03 1.476966e+03 1.610985e+05 1.092645e+09 25
- d39bff17 6553600 0.000000e+00 1.041247e+04 1.992240e+03 3.092503e+06 3.337940e+10 297
- ####################
- # 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
- ff82dda0 14745600 0.000000e+00 3.238292e+03 4.902889e+02 6.768030e+05 2.241926e+09 209
- 2c1922b7 1638400 0.000000e+00 5.889641e+02 1.063542e+02 1.272162e+05 7.736903e+07 216
- d39bff17 6553600 0.000000e+00 1.349909e+03 1.936514e+02 2.942801e+05 4.054266e+08 218
- ####################
- # 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
- 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
- ff82dda0 14745600 0.000000e+00 3.179744e+03 4.016259e+02 6.804652e+05 2.198224e+09 214
- 2c1922b7 1638400 0.000000e+00 5.796961e+02 1.048897e+02 1.199971e+05 7.183924e+07 207
- d39bff17 6553600 0.000000e+00 1.343917e+03 2.039127e+02 2.244341e+05 3.085646e+08 167
- ####################
- # 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
- 3
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda3_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
- ff82dda0 14745600 0.000000e+00 3.362936e+03 5.457359e+02 6.524096e+05 2.251791e+09 194
- 2c1922b7 1638400 0.000000e+00 5.405600e+02 9.344101e+01 1.513568e+05 8.426217e+07 280
- d39bff17 6553600 0.000000e+00 1.275634e+03 1.830051e+02 2.270629e+05 2.956105e+08 178
- ####################
- # 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
- 2
- ####################
- # DEV_0
- # number of cores
- 1
- ##########
- # number of implementations
- 1
- #####
- # Model for cuda2_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
- ff82dda0 14745600 0.000000e+00 3.306190e+03 4.921154e+02 7.009122e+05 2.368690e+09 212
- 2c1922b7 1638400 0.000000e+00 5.641572e+02 1.012475e+02 1.376544e+05 8.015997e+07 244
- d39bff17 6553600 0.000000e+00 1.355727e+03 1.656730e+02 2.331851e+05 3.208564e+08 172
|
