################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # 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 24c84a50 22118400 0.000000e+00 5.901996e+03 2.140574e+02 2.574451e+07 1.521439e+11 4362 f0ac7beb 9830400 0.000000e+00 1.855425e+03 1.035707e+02 7.464374e+06 1.389274e+10 4023 d46431bb 2457600 0.000000e+00 2.667843e+02 3.133790e+01 9.321442e+05 2.521128e+08 3494 #################### # 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 24c84a50 22118400 0.000000e+00 5.924812e+03 2.030546e+02 2.715934e+07 1.611030e+11 4584 f0ac7beb 9830400 0.000000e+00 1.850857e+03 1.138114e+02 6.774137e+06 1.258537e+10 3660 d46431bb 2457600 0.000000e+00 2.743267e+02 3.237528e+01 7.903352e+05 2.198298e+08 2881 #################### # 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 24c84a50 22118400 0.000000e+00 5.905959e+03 2.324106e+02 2.885061e+07 1.706544e+11 4885 f0ac7beb 9830400 0.000000e+00 1.844033e+03 9.904039e+01 7.516278e+06 1.390024e+10 4076 d46431bb 2457600 0.000000e+00 2.662813e+02 2.651200e+01 1.098144e+06 2.953140e+08 4124 #################### # 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 24c84a50 22118400 0.000000e+00 5.905860e+03 2.088868e+02 2.619840e+07 1.549176e+11 4436 f0ac7beb 9830400 0.000000e+00 1.843182e+03 9.714398e+01 7.671323e+06 1.417892e+10 4162 d46431bb 2457600 0.000000e+00 2.666213e+02 3.154593e+01 1.003829e+06 2.713890e+08 3765 #################### # 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 24c84a50 22118400 0.000000e+00 5.916743e+03 2.291447e+02 2.686793e+07 1.592091e+11 4541 f0ac7beb 9830400 0.000000e+00 1.837574e+03 9.255327e+01 7.197777e+06 1.326000e+10 3917 d46431bb 2457600 0.000000e+00 2.645367e+02 2.904285e+01 1.078252e+06 2.886751e+08 4076 #################### # 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 24c84a50 22118400 0.000000e+00 1.776444e+05 1.603881e+03 1.085407e+08 1.928322e+13 611 f0ac7beb 9830400 0.000000e+00 5.438487e+04 1.553469e+03 1.598915e+07 8.702776e+11 294 d46431bb 2457600 0.000000e+00 6.892168e+03 1.879454e+02 4.218007e+06 2.909283e+10 612 #################### # 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 24c84a50 22118400 0.000000e+00 5.908798e+03 2.191022e+02 2.432652e+07 1.439381e+11 4117 f0ac7beb 9830400 0.000000e+00 1.870298e+03 1.158137e+02 6.306645e+06 1.184053e+10 3372 d46431bb 2457600 0.000000e+00 2.622005e+02 3.221213e+01 7.630036e+05 2.030794e+08 2910 #################### # 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 24c84a50 22118400 0.000000e+00 5.908890e+03 2.133901e+02 2.731089e+07 1.615875e+11 4622 f0ac7beb 9830400 0.000000e+00 1.853662e+03 1.234628e+02 6.493379e+06 1.208993e+10 3503 d46431bb 2457600 0.000000e+00 2.672063e+02 3.249622e+01 7.262666e+05 1.969332e+08 2718 #################### # 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 24c84a50 22118400 0.000000e+00 5.908429e+03 2.149126e+02 2.371053e+07 1.402773e+11 4013 f0ac7beb 9830400 0.000000e+00 1.855601e+03 1.161756e+02 6.509447e+06 1.212628e+10 3508 d46431bb 2457600 0.000000e+00 2.697690e+02 3.186509e+01 7.013994e+05 1.918558e+08 2600