################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # 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 24c84a50 11059200 1.769472e+09 8.987520e+04 9.682708e+02 2.085105e+07 1.874210e+12 232 d46431bb 1228800 6.553600e+07 3.465410e+03 7.427679e+01 2.737674e+06 9.491521e+09 790 f0ac7beb 4915200 5.242880e+08 2.744657e+04 5.713498e+02 7.575252e+06 2.080048e+11 276 #################### # 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 1 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda1_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 24c84a50 11059200 1.769472e+09 2.825219e+03 1.227364e+02 1.106356e+07 3.131597e+10 3916 d46431bb 1228800 6.553600e+07 2.060677e+02 2.909125e+01 5.497887e+05 1.155516e+08 2668 f0ac7beb 4915200 5.242880e+08 9.076961e+02 5.977819e+01 3.441076e+06 3.136998e+09 3791 #################### # 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 3 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda3_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 24c84a50 11059200 1.769472e+09 2.823818e+03 1.560928e+02 1.063450e+07 3.012164e+10 3766 d46431bb 1228800 6.553600e+07 1.632767e+02 2.137437e+01 5.224853e+05 8.677162e+07 3200 f0ac7beb 4915200 5.242880e+08 9.226606e+02 6.080500e+01 3.410153e+06 3.160079e+09 3696 #################### # 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 24c84a50 11059200 1.769472e+09 2.821988e+03 1.631366e+02 1.046111e+07 2.961977e+10 3707 d46431bb 1228800 6.553600e+07 1.661504e+02 2.199315e+01 5.172263e+05 8.744312e+07 3113 f0ac7beb 4915200 5.242880e+08 9.172785e+02 5.967474e+01 3.492079e+06 3.216766e+09 3807 #################### # 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 24c84a50 11059200 1.769472e+09 2.817019e+03 1.506473e+02 1.119202e+07 3.161828e+10 3973 d46431bb 1228800 6.553600e+07 2.042642e+02 2.707555e+01 5.498791e+05 1.142941e+08 2692 f0ac7beb 4915200 5.242880e+08 9.044446e+02 5.780357e+01 3.477590e+06 3.158134e+09 3845 #################### # 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 4 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda4_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 24c84a50 11059200 1.769472e+09 2.816710e+03 1.414989e+02 1.032888e+07 2.916687e+10 3667 d46431bb 1228800 6.553600e+07 1.639497e+02 2.257894e+01 4.474187e+05 7.474542e+07 2729 f0ac7beb 4915200 5.242880e+08 9.331501e+02 5.611510e+01 3.235231e+06 3.029874e+09 3467 #################### # 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 6 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda6_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 24c84a50 11059200 1.769472e+09 2.815225e+03 1.445443e+02 1.009821e+07 2.850368e+10 3587 d46431bb 1228800 6.553600e+07 1.659035e+02 2.475202e+01 4.006569e+05 6.794997e+07 2415 f0ac7beb 4915200 5.242880e+08 9.137585e+02 6.301297e+01 3.125968e+06 2.869963e+09 3421 #################### # COMB_8 # 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 (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 24c84a50 11059200 1.769472e+09 2.807699e+03 1.292512e+02 1.006279e+07 2.831317e+10 3584 d46431bb 1228800 6.553600e+07 1.680450e+02 2.634123e+01 3.922170e+05 6.752957e+07 2334 f0ac7beb 4915200 5.242880e+08 8.912551e+02 5.629783e+01 3.090873e+06 2.765747e+09 3468 #################### # 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 7 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda7_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 24c84a50 11059200 1.769472e+09 2.827622e+03 1.304764e+02 1.027841e+07 2.912533e+10 3635 d46431bb 1228800 6.553600e+07 1.666216e+02 2.357918e+01 4.083895e+05 6.940921e+07 2451 f0ac7beb 4915200 5.242880e+08 9.077285e+02 5.688987e+01 3.089908e+06 2.815814e+09 3404