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- ##################
- # Performance Model Version
- 44
- ####################
- # COMBs
- # number of combinations
- 4
- ####################
- # COMB_0
- # 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 (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 7372800 8.856576e+08 4.361594e+04 1.992990e+03 1.840593e+07 8.044680e+11 422
- d39bff17 3276800 2.625536e+08 1.391260e+04 9.732436e+02 6.552836e+06 9.161314e+10 471
- 2c1922b7 819200 3.287040e+07 2.026126e+03 2.243730e+02 1.355478e+06 2.780050e+09 669
- ####################
- # 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 7372800 8.856576e+08 6.302421e+03 2.284702e+02 1.739468e+06 1.097727e+10 276
- d39bff17 3276800 2.625536e+08 2.553136e+03 1.599096e+02 6.714747e+05 1.721091e+09 263
- 2c1922b7 819200 3.287040e+07 6.889531e+02 1.162392e+02 1.198778e+05 8.494121e+07 174
- ####################
- # 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 7372800 8.856576e+08 6.325409e+03 1.859324e+02 1.688884e+06 1.069211e+10 267
- d39bff17 3276800 2.625536e+08 2.539349e+03 1.556256e+02 6.297585e+05 1.605183e+09 248
- 2c1922b7 819200 3.287040e+07 6.837878e+02 1.012279e+02 1.319710e+05 9.221787e+07 193
- ####################
- # 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 7372800 8.856576e+08 6.297128e+03 2.218514e+02 1.542796e+06 9.727245e+09 245
- d39bff17 3276800 2.625536e+08 2.528040e+03 1.085312e+02 7.255475e+05 1.837594e+09 287
- 2c1922b7 819200 3.287040e+07 6.470080e+02 5.924722e+01 1.598110e+05 1.042660e+08 247
|
