################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # 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 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 ff82dda0 14745600 0.000000e+00 6.925318e+03 8.376976e+02 5.748014e+05 4.038926e+09 83 d39bff17 6553600 0.000000e+00 2.271937e+03 3.454949e+02 2.340095e+05 5.439496e+08 103 2c1922b7 1638400 0.000000e+00 7.049814e+02 1.197767e+02 1.254867e+05 9.101946e+07 178 #################### # 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 3 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda3_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 ff82dda0 14745600 0.000000e+00 7.291615e+03 1.041939e+03 4.593717e+05 3.417957e+09 63 d39bff17 6553600 0.000000e+00 2.282720e+03 4.096195e+02 3.903452e+05 9.197407e+08 171 2c1922b7 1638400 0.000000e+00 6.999720e+02 1.145665e+02 1.343946e+05 9.659256e+07 192 #################### # 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 5 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda5_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 ff82dda0 14745600 0.000000e+00 7.177388e+03 9.455873e+02 3.947563e+05 2.882497e+09 55 d39bff17 6553600 0.000000e+00 2.335362e+03 3.317057e+02 2.825788e+05 6.732374e+08 121 2c1922b7 1638400 0.000000e+00 7.266144e+02 9.381637e+01 4.432348e+04 3.274297e+07 61 #################### # 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 ff82dda0 14745600 0.000000e+00 9.210227e+04 5.563000e+02 1.252591e+07 1.153707e+12 136 d39bff17 6553600 0.000000e+00 2.809162e+04 4.267578e+02 1.573131e+06 4.420199e+10 56 2c1922b7 1638400 0.000000e+00 3.732094e+03 1.582101e+02 3.993341e+05 1.493031e+09 107 #################### # 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 7 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda7_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 ff82dda0 14745600 0.000000e+00 7.047943e+03 9.923280e+02 4.017327e+05 2.887518e+09 57 d39bff17 6553600 0.000000e+00 2.358363e+03 2.904964e+02 2.381946e+05 5.702726e+08 101 2c1922b7 1638400 0.000000e+00 7.376273e+02 1.192099e+02 4.425764e+04 3.349831e+07 60 #################### # 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 2 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda2_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 ff82dda0 14745600 0.000000e+00 7.125894e+03 1.170430e+03 6.769599e+05 4.954085e+09 95 d39bff17 6553600 0.000000e+00 2.913435e+03 7.837592e+02 2.651226e+05 8.283167e+08 91 2c1922b7 1638400 0.000000e+00 7.396845e+02 1.557697e+02 7.692719e+04 5.942533e+07 104 #################### # 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 ff82dda0 14745600 0.000000e+00 6.906666e+03 1.069281e+03 3.177066e+05 2.246888e+09 46 d39bff17 6553600 0.000000e+00 2.331985e+03 3.108312e+02 2.914982e+05 6.918465e+08 125 2c1922b7 1638400 0.000000e+00 7.036069e+02 1.117682e+02 5.277052e+04 3.806661e+07 75 #################### # 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 6 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda6_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 ff82dda0 14745600 0.000000e+00 7.634969e+03 1.278868e+03 4.122883e+05 3.236126e+09 54 d39bff17 6553600 0.000000e+00 2.361692e+03 2.763159e+02 1.747652e+05 4.183915e+08 74 2c1922b7 1638400 0.000000e+00 7.215132e+02 1.060983e+02 7.287283e+04 5.371565e+07 101 #################### # 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 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_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 ff82dda0 14745600 0.000000e+00 7.011366e+03 8.280915e+02 6.871138e+05 4.884809e+09 98 d39bff17 6553600 0.000000e+00 2.294721e+03 3.366230e+02 4.451759e+05 1.043537e+09 194 2c1922b7 1638400 0.000000e+00 6.840134e+02 1.166270e+02 1.114942e+05 7.848061e+07 163