################## # 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 2c1922b7 819200 0.000000e+00 1.946809e+03 8.216247e+01 4.049363e+05 7.897378e+08 208 d39bff17 3276800 0.000000e+00 1.423970e+04 2.281585e+02 1.395491e+06 1.987647e+10 98 ff82dda0 7372800 0.000000e+00 4.640991e+04 5.437505e+02 4.919451e+06 2.283426e+11 106 #################### # 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 2c1922b7 819200 0.000000e+00 4.484181e+02 9.807341e+01 3.004401e+04 1.411671e+07 67 d39bff17 3276800 0.000000e+00 1.658665e+03 2.005859e+02 2.388477e+05 4.019622e+08 144 ff82dda0 7372800 0.000000e+00 3.922083e+03 2.271290e+02 2.588575e+05 1.018665e+09 66 #################### # 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 2c1922b7 819200 0.000000e+00 5.042679e+02 1.229686e+02 7.362312e+04 3.933348e+07 146 d39bff17 3276800 0.000000e+00 2.167031e+03 5.827483e+02 2.773800e+05 6.445595e+08 128 ff82dda0 7372800 0.000000e+00 4.035358e+03 4.245106e+02 4.035358e+05 1.646433e+09 100 #################### # 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 2c1922b7 819200 0.000000e+00 4.873044e+02 1.174149e+02 2.631443e+04 1.356760e+07 54 d39bff17 3276800 0.000000e+00 1.705876e+03 1.721886e+02 1.808228e+05 3.116041e+08 106 ff82dda0 7372800 0.000000e+00 3.936492e+03 2.608005e+02 2.440625e+05 9.649671e+08 62 #################### # 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 2c1922b7 819200 0.000000e+00 5.272057e+02 1.307030e+02 5.535660e+04 3.097805e+07 105 d39bff17 3276800 0.000000e+00 1.638590e+03 9.390080e+01 1.163399e+05 1.912593e+08 71 ff82dda0 7372800 0.000000e+00 4.055643e+03 3.711103e+02 4.177313e+05 1.708355e+09 103 #################### # 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 2c1922b7 819200 0.000000e+00 4.303558e+02 7.490536e+01 2.840348e+04 1.259392e+07 66 d39bff17 3276800 0.000000e+00 1.669452e+03 1.444951e+02 1.419035e+05 2.386758e+08 85 ff82dda0 7372800 0.000000e+00 4.288060e+03 7.671104e+02 2.744359e+05 1.214459e+09 64 #################### # 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 2c1922b7 819200 0.000000e+00 4.394264e+02 8.387153e+01 6.283798e+04 2.861859e+07 143 d39bff17 3276800 0.000000e+00 2.098818e+03 5.403136e+02 2.140795e+05 4.790917e+08 102 ff82dda0 7372800 0.000000e+00 4.766912e+03 1.123433e+03 7.579390e+05 3.813703e+09 159 #################### # 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 2c1922b7 819200 0.000000e+00 4.660051e+02 1.021627e+02 6.477470e+04 3.163611e+07 139 d39bff17 3276800 0.000000e+00 2.103985e+03 5.293854e+02 2.377503e+05 5.318912e+08 113 ff82dda0 7372800 0.000000e+00 3.972257e+03 3.858968e+02 2.899747e+05 1.162725e+09 73 #################### # 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 2c1922b7 819200 0.000000e+00 5.222345e+02 1.241013e+02 2.715620e+04 1.498276e+07 52 d39bff17 3276800 0.000000e+00 1.941135e+03 4.386059e+02 1.824667e+05 3.722759e+08 94 ff82dda0 7372800 0.000000e+00 4.892155e+03 1.147723e+03 2.397156e+05 1.237272e+09 49