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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
- 25ebb669 8294400 0.000000e+00 4.111343e+05 7.639666e+04 4.111343e+06 1.748679e+12 10
- afdd228b 1638400 0.000000e+00 2.923093e+04 1.278718e+03 5.553877e+05 1.626557e+10 19
- cea37d6d 409600 0.000000e+00 4.037068e+03 3.335771e+02 2.906689e+05 1.181462e+09 72
- 617e5fe6 3686400 0.000000e+00 1.029624e+05 6.177928e+03 1.029624e+06 1.063943e+11 10
- ####################
- # 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
- cea37d6d 409600 0.000000e+00 9.866251e+03 7.665217e+02 9.866251e+04 9.793047e+08 10
- afdd228b 1638400 0.000000e+00 2.088164e+04 1.502169e+03 4.176328e+05 8.765989e+09 20
- 617e5fe6 3686400 0.000000e+00 4.153583e+04 9.473225e+02 9.968599e+05 4.142694e+10 24
- 25ebb669 8294400 0.000000e+00 9.378398e+04 2.901838e+03 1.594328e+06 1.496655e+11 17
- ####################
- # 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
- 25ebb669 8294400 0.000000e+00 9.434448e+04 6.197321e+03 2.075578e+06 1.966643e+11 22
- afdd228b 1638400 0.000000e+00 2.242688e+04 2.707726e+03 3.139763e+05 7.144153e+09 14
- cea37d6d 409600 0.000000e+00 9.238189e+03 1.713378e+02 9.238189e+04 8.537349e+08 10
- 617e5fe6 3686400 0.000000e+00 4.357190e+04 5.271768e+03 7.842942e+05 3.467343e+10 18
- ####################
- # 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
- 25ebb669 8294400 0.000000e+00 9.395404e+04 4.337001e+03 1.973035e+06 1.857696e+11 21
- afdd228b 1638400 0.000000e+00 2.096495e+04 7.732458e+02 3.773690e+05 7.922284e+09 18
- cea37d6d 409600 0.000000e+00 9.471831e+03 5.475075e+02 9.471831e+04 9.001535e+08 10
- 617e5fe6 3686400 0.000000e+00 4.647825e+04 9.283373e+03 5.577390e+05 2.695691e+10 12
- ####################
- # 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
- 25ebb669 8294400 0.000000e+00 9.896522e+04 1.438963e+04 1.187583e+06 1.200141e+11 12
- afdd228b 1638400 0.000000e+00 2.172039e+04 1.567348e+03 2.823650e+05 6.165013e+09 13
- cea37d6d 409600 0.000000e+00 9.338877e+03 3.249828e+02 9.338877e+04 8.732025e+08 10
- 617e5fe6 3686400 0.000000e+00 4.258012e+04 2.921691e+03 8.090223e+05 3.461046e+10 19
|
