################## # Performance Model Version 44 #################### # COMBs # number of combinations 4 #################### # COMB_3 # 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 (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 492beed5 66355200 7.077888e+09 6.739553e+05 1.180373e+04 5.391643e+07 3.634841e+13 80 0b0b0ce8 7372800 2.621440e+08 2.919185e+04 3.106016e+03 2.335348e+06 6.894489e+10 80 4220e23d 29491200 2.097152e+09 2.058556e+05 4.934163e+03 1.646845e+07 3.392071e+12 80 #################### # 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 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_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 492beed5 66355200 7.077888e+09 2.313178e+04 3.749098e+01 2.451969e+06 5.671856e+10 106 0b0b0ce8 7372800 2.621440e+08 1.039822e+03 4.572723e+01 9.982293e+04 1.039988e+08 96 4220e23d 29491200 2.097152e+09 7.017044e+03 9.150160e+00 7.367896e+05 5.170094e+09 105 #################### # 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 1 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda1_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 492beed5 66355200 7.077888e+09 2.311999e+04 3.792305e+01 2.427599e+06 5.612623e+10 105 0b0b0ce8 7372800 2.621440e+08 1.036523e+03 7.589914e+00 8.810443e+04 9.132713e+07 85 4220e23d 29491200 2.097152e+09 7.017425e+03 3.431116e+01 7.298122e+05 5.121525e+09 104 #################### # 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 2 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda2_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 492beed5 66355200 7.077888e+09 2.312215e+04 3.532854e+01 2.427826e+06 5.613668e+10 105 0b0b0ce8 7372800 2.621440e+08 1.036998e+03 4.343669e+01 1.078478e+05 1.120342e+08 104 4220e23d 29491200 2.097152e+09 7.010229e+03 3.598880e+01 7.360740e+05 5.160183e+09 105