################## # 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) 1 #################### # DEV_0 # device id 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_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 0b0b0ce8 7372800 2.621440e+08 1.052061e+03 3.198115e+01 6.838395e+04 7.201055e+07 65 4220e23d 29491200 2.097152e+09 7.092203e+03 4.667104e+02 6.028372e+05 4.293959e+09 85 492beed5 66355200 7.077888e+09 2.348390e+04 1.879558e+03 2.230970e+06 5.272750e+10 95 #################### # 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 1 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda1_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 0b0b0ce8 7372800 2.621440e+08 1.052063e+03 4.974434e+01 7.680058e+04 8.097966e+07 73 4220e23d 29491200 2.097152e+09 7.169429e+03 6.510141e+02 6.165709e+05 4.456910e+09 86 492beed5 66355200 7.077888e+09 2.369721e+04 2.666656e+03 2.203840e+06 5.288620e+10 93 #################### # 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 4 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda4_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 0b0b0ce8 7372800 2.621440e+08 1.073351e+03 1.039589e+02 5.796097e+04 6.279609e+07 54 4220e23d 29491200 2.097152e+09 7.178253e+03 6.674450e+02 6.245080e+05 4.521634e+09 87 492beed5 66355200 7.077888e+09 2.322028e+04 3.606800e+02 2.252367e+06 5.231319e+10 97 #################### # 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 0b0b0ce8 7372800 2.621440e+08 1.047275e+03 4.810046e+01 6.074194e+04 6.374769e+07 58 4220e23d 29491200 2.097152e+09 7.215871e+03 7.571281e+02 6.277808e+05 4.579858e+09 87 492beed5 66355200 7.077888e+09 2.323291e+04 1.169036e+03 2.230359e+06 5.194892e+10 96 #################### # 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 0b0b0ce8 7372800 2.621440e+08 1.045464e+03 2.548321e+01 6.168239e+04 6.452506e+07 59 4220e23d 29491200 2.097152e+09 7.130284e+03 4.158059e+02 5.632924e+05 4.030093e+09 79 492beed5 66355200 7.077888e+09 2.322391e+04 7.530407e+02 2.090152e+06 4.859253e+10 90 #################### # 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 7 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda7_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 0b0b0ce8 7372800 2.621440e+08 1.058842e+03 8.984549e+01 6.353054e+04 6.775316e+07 60 4220e23d 29491200 2.097152e+09 7.197321e+03 6.902584e+02 6.549562e+05 4.757287e+09 91 492beed5 66355200 7.077888e+09 2.322727e+04 1.128695e+03 2.253045e+06 5.245566e+10 97 #################### # 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 0b0b0ce8 7372800 2.621440e+08 1.063382e+03 9.562944e+01 5.529587e+04 5.927619e+07 52 4220e23d 29491200 2.097152e+09 7.227464e+03 8.541890e+02 6.287894e+05 4.608031e+09 87 492beed5 66355200 7.077888e+09 2.322877e+04 9.079114e+02 2.253191e+06 5.241882e+10 97 #################### # 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 0b0b0ce8 7372800 2.621440e+08 1.057961e+03 6.059722e+01 5.289807e+04 5.614771e+07 50 4220e23d 29491200 2.097152e+09 7.169935e+03 6.166650e+02 5.592549e+05 4.039483e+09 78 492beed5 66355200 7.077888e+09 2.322622e+04 8.447450e+02 2.090360e+06 4.861539e+10 90 #################### # 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 0b0b0ce8 7372800 2.621440e+08 3.132122e+04 3.995607e+03 8.456730e+05 2.691857e+10 27 4220e23d 29491200 2.097152e+09 2.241875e+05 7.780157e+03 6.053063e+06 1.358656e+12 27 492beed5 66355200 7.077888e+09 7.222063e+05 7.344712e+03 1.661074e+07 1.199762e+13 23