################## # 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 617e5fe6 3686400 2.953730e+08 2.069576e+04 7.440388e+01 4.346110e+05 8.994720e+09 21 cea37d6d 409600 1.097392e+07 1.068290e+03 2.074934e+01 3.098041e+04 3.310855e+07 29 afdd228b 1638400 8.758624e+07 6.632886e+03 6.634864e+01 1.392906e+05 9.239911e+08 21 #################### # 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 617e5fe6 3686400 2.953730e+08 5.998499e+04 6.600211e+03 5.998499e+05 3.641761e+10 10 cea37d6d 409600 1.097392e+07 1.500406e+04 5.740284e+02 1.500406e+05 2.254514e+09 10 afdd228b 1638400 8.758624e+07 3.368249e+04 5.947857e+03 3.368249e+05 1.169887e+10 10 #################### # 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 617e5fe6 3686400 2.953730e+08 5.745646e+04 7.363450e+03 5.745646e+05 3.355466e+10 10 cea37d6d 409600 1.097392e+07 1.559370e+04 1.137871e+03 1.559370e+05 2.444583e+09 10 afdd228b 1638400 8.758624e+07 3.216379e+04 4.954206e+03 3.216379e+05 1.059054e+10 10 #################### # 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 617e5fe6 3686400 2.953730e+08 5.761859e+04 8.603827e+03 5.761859e+05 3.393928e+10 10 cea37d6d 409600 1.097392e+07 1.498399e+04 7.885417e+02 1.498399e+05 2.251416e+09 10 afdd228b 1638400 8.758624e+07 3.033086e+04 2.968298e+03 3.033086e+05 9.287718e+09 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 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 617e5fe6 3686400 2.953730e+08 5.207197e+04 2.780602e+03 5.207197e+05 2.719222e+10 10 cea37d6d 409600 1.097392e+07 1.609271e+04 2.681035e+03 1.609271e+05 2.661633e+09 10 afdd228b 1638400 8.758624e+07 3.107603e+04 1.620445e+03 3.107603e+05 9.683455e+09 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 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 617e5fe6 3686400 2.953730e+08 5.062446e+04 2.429137e+03 5.062446e+05 2.568736e+10 10 cea37d6d 409600 1.097392e+07 1.506158e+04 8.561331e+02 1.506158e+05 2.275840e+09 10 afdd228b 1638400 8.758624e+07 3.034398e+04 4.027845e+03 3.034398e+05 9.369809e+09 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 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 617e5fe6 3686400 2.953730e+08 5.174953e+04 6.183695e+03 5.174953e+05 2.716252e+10 10 cea37d6d 409600 1.097392e+07 1.518996e+04 9.403764e+02 1.518996e+05 2.316193e+09 10 afdd228b 1638400 8.758624e+07 3.100983e+04 5.124047e+03 3.100983e+05 9.878653e+09 10 #################### # 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 617e5fe6 3686400 2.953730e+08 5.475211e+04 6.512121e+03 5.475211e+05 3.040202e+10 10 cea37d6d 409600 1.097392e+07 1.504708e+04 5.064339e+02 1.504708e+05 2.266711e+09 10 afdd228b 1638400 8.758624e+07 2.918927e+04 4.035680e+03 2.918927e+05 8.683004e+09 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 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 cea37d6d 409600 1.097392e+07 1.467875e+04 2.659893e+02 1.467875e+05 2.155366e+09 10 afdd228b 1638400 8.758624e+07 3.186232e+04 5.396938e+03 3.186232e+05 1.044334e+10 10 617e5fe6 3686400 2.953730e+08 5.896762e+04 1.233845e+04 5.896762e+05 3.629418e+10 10