################## # Performance Model Version 44 #################### # COMBs # number of combinations 9 #################### # 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 8ec75d42 14753312 0.000000e+00 1.774670e+03 3.622348e+02 1.348749e+06 2.493306e+09 760 6d78e48f 4461600 0.000000e+00 1.036351e+03 9.390524e+01 2.839601e+05 2.966985e+08 274 49ec0825 34613280 0.000000e+00 4.962997e+03 6.650844e+02 5.096998e+06 2.575067e+10 1027 #################### # 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 2 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda2_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 8ec75d42 14753312 0.000000e+00 1.813689e+03 3.729019e+02 1.331248e+06 2.516537e+09 734 6d78e48f 4461600 0.000000e+00 1.023951e+03 1.005326e+02 3.553110e+05 3.673281e+08 347 49ec0825 34613280 0.000000e+00 5.017264e+03 7.095917e+02 4.365019e+06 2.233852e+10 870 #################### # COMB_0 # 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 (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 8ec75d42 14753312 0.000000e+00 4.692078e+04 5.010795e+02 1.501465e+06 7.045793e+10 32 6d78e48f 4461600 0.000000e+00 1.405585e+04 1.896523e+02 7.590156e+05 1.067055e+10 54 49ec0825 34613280 0.000000e+00 1.108029e+05 1.348959e+03 3.545692e+06 3.929311e+11 32 #################### # COMB_8 # 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 (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 8ec75d42 14753312 0.000000e+00 1.859413e+03 3.366203e+02 1.309027e+06 2.513795e+09 704 6d78e48f 4461600 0.000000e+00 1.027564e+03 1.046018e+02 3.483442e+05 3.616551e+08 339 49ec0825 34613280 0.000000e+00 5.060000e+03 7.405627e+02 4.164380e+06 2.152312e+10 823 #################### # 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 6 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda6_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 8ec75d42 14753312 0.000000e+00 1.862800e+03 3.783314e+02 8.438483e+05 1.636760e+09 453 6d78e48f 4461600 0.000000e+00 9.567271e+02 3.148502e+01 5.606421e+05 5.369624e+08 586 49ec0825 34613280 0.000000e+00 4.965851e+03 6.509733e+02 5.810046e+06 2.934763e+10 1170 #################### # 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 8ec75d42 14753312 0.000000e+00 1.889366e+03 3.958521e+02 1.186522e+06 2.340180e+09 628 6d78e48f 4461600 0.000000e+00 1.028680e+03 8.044529e+01 2.880303e+05 2.981029e+08 280 49ec0825 34613280 0.000000e+00 5.035634e+03 7.113130e+02 4.899672e+06 2.516526e+10 973 #################### # 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 0 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda0_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 8ec75d42 14753312 0.000000e+00 1.814024e+03 3.173708e+02 1.186372e+06 2.217980e+09 654 6d78e48f 4461600 0.000000e+00 1.025445e+03 7.185494e+01 3.466003e+05 3.571646e+08 338 49ec0825 34613280 0.000000e+00 5.092715e+03 7.051028e+02 3.513973e+06 1.823871e+10 690 #################### # 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 4 #################### # DEV_0 # number of cores 1 ########## # number of implementations 1 ##### # Model for cuda4_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 8ec75d42 14753312 0.000000e+00 1.793350e+03 3.531620e+02 1.388053e+06 2.585801e+09 774 6d78e48f 4461600 0.000000e+00 1.033622e+03 1.055186e+02 3.783058e+05 3.951004e+08 366 49ec0825 34613280 0.000000e+00 4.986601e+03 7.025210e+02 5.345636e+06 2.718562e+10 1072 #################### # 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 8ec75d42 14753312 0.000000e+00 1.781570e+03 3.261441e+02 1.501864e+06 2.765346e+09 843 6d78e48f 4461600 0.000000e+00 1.022184e+03 1.018115e+02 3.751415e+05 3.872679e+08 367 49ec0825 34613280 0.000000e+00 5.102994e+03 7.050225e+02 4.327339e+06 2.250389e+10 848