################## # Performance Model Version 45 #################### # COMBs # number of combinations 4 #################### # COMB_3 # 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 (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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 24c84a50 22118400 0.000000e+00 1.687897e+05 8.023245e+03 3.110794e+08 5.262564e+13 1843 f0ac7beb 9830400 0.000000e+00 5.125521e+04 2.656019e+03 7.375625e+07 3.790543e+12 1439 d46431bb 2457600 0.000000e+00 6.821106e+03 3.878220e+02 1.100926e+07 7.533811e+10 1614 #################### # COMB_1 # 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 (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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 24c84a50 22118400 0.000000e+00 5.852261e+03 2.067645e+02 2.783335e+07 1.630914e+11 4756 f0ac7beb 9830400 0.000000e+00 1.831142e+03 6.447275e+01 9.274735e+06 1.700441e+10 5065 d46431bb 2457600 0.000000e+00 2.556618e+02 1.838263e+01 1.252232e+06 3.218030e+08 4898 #################### # 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 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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 24c84a50 22118400 0.000000e+00 5.846675e+03 2.141855e+02 2.732736e+07 1.599886e+11 4674 f0ac7beb 9830400 0.000000e+00 1.834114e+03 5.380375e+01 9.566740e+06 1.756159e+10 5216 d46431bb 2457600 0.000000e+00 2.610266e+02 2.020042e+01 1.246402e+06 3.272925e+08 4775 #################### # COMB_2 # 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 (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 # not multiple-regression-base 0 # hash size flops mean (us) dev (us) sum sum2 n 24c84a50 22118400 0.000000e+00 5.840318e+03 1.756302e+02 2.921911e+07 1.708032e+11 5003 f0ac7beb 9830400 0.000000e+00 1.840833e+03 4.879997e+01 9.542881e+06 1.757920e+10 5184 d46431bb 2457600 0.000000e+00 2.617920e+02 1.853601e+01 1.281472e+06 3.371609e+08 4895