################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # 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 6.700359e+03 1.036459e+03 3.886208e+05 2.666205e+09 58 d39bff17 6553600 0.000000e+00 2.067623e+03 3.658691e+02 3.825102e+05 8.156510e+08 185 2c1922b7 1638400 0.000000e+00 6.344928e+02 1.313164e+02 1.091328e+05 7.220992e+07 172 #################### # 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 6.634729e+03 1.380283e+03 4.777005e+05 3.306586e+09 72 d39bff17 6553600 0.000000e+00 2.102108e+03 3.770829e+02 2.690698e+05 5.838144e+08 128 2c1922b7 1638400 0.000000e+00 6.251127e+02 1.334964e+02 1.168961e+05 7.640580e+07 187 #################### # 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 5.973111e+03 7.873858e+02 4.420102e+05 2.686054e+09 74 d39bff17 6553600 0.000000e+00 2.088129e+03 3.411148e+02 2.129891e+05 4.566174e+08 102 2c1922b7 1638400 0.000000e+00 5.816119e+02 1.098601e+02 6.165086e+04 3.713622e+07 106 #################### # 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 5.813439e+03 5.835403e+02 2.441645e+05 1.433737e+09 42 d39bff17 6553600 0.000000e+00 2.170079e+03 5.032568e+02 7.161259e+04 1.637628e+08 33 2c1922b7 1638400 0.000000e+00 6.080488e+02 1.225789e+02 3.101049e+04 1.962219e+07 51 #################### # 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 9.133611e+04 7.141260e+02 1.032098e+07 9.427358e+11 113 d39bff17 6553600 0.000000e+00 2.797330e+04 6.068477e+02 1.482585e+06 4.149232e+10 53 2c1922b7 1638400 0.000000e+00 3.803279e+03 2.345034e+02 3.308852e+05 1.263233e+09 87 #################### # 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 6.609495e+03 1.035460e+03 4.296172e+05 2.909244e+09 65 d39bff17 6553600 0.000000e+00 2.129873e+03 3.868465e+02 3.407797e+05 7.497615e+08 160 2c1922b7 1638400 0.000000e+00 6.443548e+02 1.239934e+02 8.054435e+04 5.382094e+07 125 #################### # 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 5.938773e+03 5.045720e+02 2.078570e+05 1.243326e+09 35 d39bff17 6553600 0.000000e+00 2.180034e+03 4.239424e+02 1.286220e+05 2.910041e+08 59 2c1922b7 1638400 0.000000e+00 5.996256e+02 1.220514e+02 5.816368e+04 3.632139e+07 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 ff82dda0 14745600 0.000000e+00 6.467618e+03 9.651621e+02 2.910428e+05 1.924273e+09 45 d39bff17 6553600 0.000000e+00 2.057931e+03 3.333471e+02 1.872717e+05 3.955042e+08 91 2c1922b7 1638400 0.000000e+00 6.141799e+02 1.365857e+02 5.159111e+04 3.325329e+07 84 #################### # 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 6.429538e+03 9.929716e+02 5.015040e+05 3.301346e+09 78 d39bff17 6553600 0.000000e+00 2.056349e+03 3.356881e+02 4.565094e+05 9.637588e+08 222 2c1922b7 1638400 0.000000e+00 6.374873e+02 1.360140e+02 9.498561e+04 6.330859e+07 149