################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # COMB_8 # 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 (Comb8) # 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 cea37d6d 409600 0.000000e+00 4.307978e+03 6.474305e+01 1.249314e+05 5.383232e+08 29 afdd228b 1638400 0.000000e+00 3.550524e+04 4.451382e+02 3.550524e+05 1.260821e+10 10 617e5fe6 3686400 0.000000e+00 1.169735e+05 9.368471e+02 1.169735e+06 1.368368e+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 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_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 cea37d6d 409600 0.000000e+00 1.140547e+04 1.799023e+03 1.140547e+05 1.333212e+09 10 afdd228b 1638400 0.000000e+00 2.728447e+04 8.307498e+02 2.728447e+05 7.451326e+09 10 617e5fe6 3686400 0.000000e+00 6.234962e+04 7.670296e+03 6.858458e+05 4.340939e+10 11 #################### # 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 5 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda5_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 afdd228b 1638400 0.000000e+00 3.084154e+04 4.741973e+03 3.084154e+05 9.736872e+09 10 cea37d6d 409600 0.000000e+00 1.194801e+04 1.916839e+03 1.194801e+05 1.464291e+09 10 617e5fe6 3686400 0.000000e+00 6.590141e+04 1.170188e+04 6.590141e+05 4.479930e+10 10 #################### # 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 6 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda6_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 617e5fe6 3686400 0.000000e+00 7.169178e+04 1.134864e+04 7.886096e+05 5.795353e+10 11 cea37d6d 409600 0.000000e+00 1.144166e+04 1.161786e+03 1.144166e+05 1.322613e+09 10 afdd228b 1638400 0.000000e+00 2.872444e+04 2.010264e+03 3.159688e+05 9.120481e+09 11 #################### # 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 4 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda4_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 cea37d6d 409600 0.000000e+00 1.150326e+04 1.434617e+03 1.150326e+05 1.343832e+09 10 afdd228b 1638400 0.000000e+00 3.088151e+04 4.858348e+03 3.088151e+05 9.772711e+09 10 617e5fe6 3686400 0.000000e+00 6.102500e+04 7.308309e+03 6.102500e+05 3.777463e+10 10 #################### # COMB_4 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) 1 #################### # DEV_0 # device id 7 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda7_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 617e5fe6 3686400 0.000000e+00 5.751510e+04 2.006299e+03 6.901812e+05 3.974415e+10 12 cea37d6d 409600 0.000000e+00 1.125363e+04 1.219431e+03 1.125363e+05 1.281312e+09 10 afdd228b 1638400 0.000000e+00 3.238968e+04 5.459084e+03 3.238968e+05 1.078893e+10 10 #################### # COMB_6 # 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 (Comb6) # 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 afdd228b 1638400 0.000000e+00 2.926764e+04 3.325362e+03 3.219440e+05 9.544181e+09 11 cea37d6d 409600 0.000000e+00 1.088648e+04 1.129883e+03 1.088648e+05 1.197920e+09 10 617e5fe6 3686400 0.000000e+00 6.506731e+04 1.183046e+04 8.458750e+05 5.685829e+10 13 #################### # COMB_5 # 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 (Comb5) # 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 afdd228b 1638400 0.000000e+00 2.775893e+04 1.476662e+03 3.331071e+05 9.272862e+09 12 cea37d6d 409600 0.000000e+00 1.026126e+04 8.160679e+01 1.026126e+05 1.053001e+09 10 617e5fe6 3686400 0.000000e+00 6.215917e+04 1.023772e+04 6.215917e+05 3.968573e+10 10 #################### # COMB_7 # 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 (Comb7) # 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 cea37d6d 409600 0.000000e+00 1.022286e+04 3.601879e+01 1.022286e+05 1.045081e+09 10 afdd228b 1638400 0.000000e+00 2.891317e+04 4.592264e+03 2.891317e+05 8.570604e+09 10 617e5fe6 3686400 0.000000e+00 5.724831e+04 3.045025e+03 7.442280e+05 4.272633e+10 13