################## # Performance Model Version 45 #################### # COMBs # number of combinations 5 #################### # COMB_2 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3) 1 #################### # DEV_0 # device id 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_impl0 (Comb2) # number of entries 9 # 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 492beed5 33177600 7.077888e+09 2.745578e+03 3.064191e+02 6.616844e+05 1.839335e+09 241 9c6670ef 29491200 7.077888e+09 2.745578e+03 3.064191e+02 6.616844e+05 1.839335e+09 241 c00cf6b7 29491200 7.077888e+09 2.745578e+03 3.064191e+02 6.616844e+05 1.839335e+09 241 78a2cc08 29491200 7.077888e+09 2.745578e+03 3.064191e+02 6.616844e+05 1.839335e+09 241 a7cdf15b 44236800 1.415578e+10 5.491156e+03 6.128382e+02 1.323369e+06 7.357340e+09 241 24c84a50 11059200 1.769472e+09 6.863945e+02 7.660478e+01 1.654211e+05 1.149584e+08 241 0b0b0ce8 3686400 2.621440e+08 1.582927e+02 3.333442e+01 3.434951e+04 5.678402e+06 217 4220e23d 14745600 2.097152e+09 8.206871e+02 1.017181e+02 1.148962e+05 9.574235e+07 140 87a7dc42 74649600 2.388787e+10 9.813897e+03 7.998509e+02 1.570224e+06 1.551237e+10 160 #################### # COMB_1 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3) 1 #################### # DEV_0 # device id 3 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda3_impl0 (Comb1) # number of entries 9 # 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 492beed5 33177600 7.077888e+09 2.686428e+03 2.002215e+02 6.716071e+05 1.814247e+09 250 9c6670ef 29491200 7.077888e+09 2.686428e+03 2.002215e+02 6.716071e+05 1.814247e+09 250 c00cf6b7 29491200 7.077888e+09 2.686428e+03 2.002215e+02 6.716071e+05 1.814247e+09 250 78a2cc08 29491200 7.077888e+09 2.686428e+03 2.002215e+02 6.716071e+05 1.814247e+09 250 a7cdf15b 44236800 1.415578e+10 5.372856e+03 4.004430e+02 1.343214e+06 7.256988e+09 251 24c84a50 11059200 1.769472e+09 6.716070e+02 5.005537e+01 1.679018e+05 1.133904e+08 250 0b0b0ce8 3686400 2.621440e+08 1.630480e+02 3.438768e+01 3.097912e+04 5.275762e+06 190 4220e23d 14745600 2.097152e+09 8.448030e+02 7.773742e+01 2.433033e+05 2.072837e+08 288 87a7dc42 74649600 2.388787e+10 9.873153e+03 8.026227e+02 1.579704e+06 1.569974e+10 160 #################### # COMB_0 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3) 1 #################### # DEV_0 # device id 1 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda1_impl0 (Comb0) # number of entries 9 # 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 492beed5 33177600 7.077888e+09 2.791098e+03 3.147711e+02 6.503258e+05 1.838209e+09 233 9c6670ef 29491200 7.077888e+09 2.791098e+03 3.147711e+02 6.503258e+05 1.838209e+09 233 c00cf6b7 29491200 7.077888e+09 2.791098e+03 3.147711e+02 6.503258e+05 1.838209e+09 233 78a2cc08 29491200 7.077888e+09 2.791098e+03 3.147711e+02 6.503258e+05 1.838209e+09 233 a7cdf15b 44236800 1.415578e+10 5.582196e+03 6.295422e+02 1.300652e+06 7.352836e+09 233 24c84a50 11059200 1.769472e+09 6.977745e+02 7.869277e+01 1.625815e+05 1.148881e+08 233 0b0b0ce8 3686400 2.621440e+08 1.624855e+02 3.298013e+01 2.940987e+04 4.975550e+06 181 4220e23d 14745600 2.097152e+09 8.152506e+02 1.017614e+02 1.173961e+05 9.719839e+07 144 87a7dc42 74649600 2.388787e+10 1.001360e+04 7.827579e+02 1.582149e+06 1.593981e+10 158 #################### # COMB_3 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3) 1 #################### # DEV_0 # device id 2 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda2_impl0 (Comb3) # number of entries 9 # 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 492beed5 33177600 7.077888e+09 2.754203e+03 2.682327e+02 6.830422e+05 1.899080e+09 248 9c6670ef 29491200 7.077888e+09 2.754203e+03 2.682327e+02 6.830422e+05 1.899080e+09 248 c00cf6b7 29491200 7.077888e+09 2.754203e+03 2.682327e+02 6.830422e+05 1.899080e+09 248 78a2cc08 29491200 7.077888e+09 2.754203e+03 2.682327e+02 6.830422e+05 1.899080e+09 248 a7cdf15b 44236800 1.415578e+10 5.508406e+03 5.364654e+02 1.366084e+06 7.596320e+09 248 24c84a50 11059200 1.769472e+09 6.885507e+02 6.705818e+01 1.707605e+05 1.186925e+08 248 0b0b0ce8 3686400 2.621440e+08 1.622246e+02 3.553894e+01 3.714942e+04 6.315779e+06 229 4220e23d 14745600 2.097152e+09 8.611626e+02 9.290485e+01 2.411255e+05 2.100651e+08 280 87a7dc42 74649600 2.388787e+10 9.935915e+03 7.366769e+02 1.569875e+06 1.568389e+10 158 #################### # COMB_4 # number of types devices 1 #################### # DEV_0 # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3) 0 #################### # DEV_0 # device id 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cpu0_impl0 (Comb4) # number of entries 9 # 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 492beed5 33177600 7.077888e+09 1.712078e+05 4.163047e+04 2.773567e+07 5.029326e+12 162 9c6670ef 29491200 7.077888e+09 1.712078e+05 4.163047e+04 2.773567e+07 5.029326e+12 162 c00cf6b7 29491200 7.077888e+09 1.712078e+05 4.163047e+04 2.773567e+07 5.029326e+12 162 78a2cc08 29491200 7.077888e+09 1.712078e+05 4.163047e+04 2.773567e+07 5.029326e+12 162 a7cdf15b 44236800 1.415578e+10 3.424156e+05 8.326094e+04 5.547134e+07 2.011730e+13 162 24c84a50 11059200 1.769472e+09 4.280195e+04 1.040762e+04 6.933918e+06 3.143329e+11 162 0b0b0ce8 3686400 2.621440e+08 6.441655e+03 1.152866e+03 3.220827e+05 2.141201e+09 50 4220e23d 14745600 2.097152e+09 4.927734e+04 1.166029e+04 5.913281e+06 3.077063e+11 120 87a7dc42 74649600 2.388787e+10 5.091210e+05 1.022002e+05 6.974957e+07 3.694192e+13 137