Commit c4dffd0c authored by THIBAULT Samuel's avatar THIBAULT Samuel Committed by PRUVOST Florent

Add starpu-1.3-compatible perfmodels

parent d2b4cab3
##################
# 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, SCC - 4)
0
####################
# DEV_0
# device id
0
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb3_impl0: cpu
# number of entries
5
# 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
20a74a79 2252800 0.000000e+00 5.714967e+03 9.983302e+01 1.861365e+07 1.064089e+11 3257
d46431bb 2457600 0.000000e+00 6.572893e+03 9.671459e+02 1.516432e+08 1.018314e+12 23071
24c84a50 22118400 0.000000e+00 1.729324e+05 2.099315e+03 4.762558e+08 8.237217e+13 2754
94526596 14131200 0.000000e+00 8.066041e+04 2.228611e+03 3.461945e+08 2.794551e+13 4292
d041c8f5 1228800 0.000000e+00 1.783073e+03 6.303677e+02 1.489757e+07 2.988342e+10 8355
####################
# 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
0
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb0_impl0: cuda
# number of entries
5
# 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
20a74a79 2252800 0.000000e+00 3.095456e+02 2.053203e+02 7.525053e+05 3.354169e+08 2431
d46431bb 2457600 0.000000e+00 3.270395e+02 2.436610e+02 2.585346e+07 1.314853e+10 79053
24c84a50 22118400 0.000000e+00 5.981205e+03 3.102152e+02 1.503555e+08 9.017264e+11 25138
94526596 14131200 0.000000e+00 2.881518e+03 4.199780e+02 2.276399e+06 6.698827e+09 790
d041c8f5 1228800 0.000000e+00 2.338286e+02 1.144770e+02 6.921326e+04 2.006311e+07 296
####################
# 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 Comb1_impl0: cuda
# number of entries
5
# 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
20a74a79 2252800 0.000000e+00 3.016439e+02 4.389580e+01 8.949776e+05 2.756815e+08 2967
d46431bb 2457600 0.000000e+00 3.302564e+02 3.287456e+02 2.582341e+07 1.697884e+10 78192
24c84a50 22118400 0.000000e+00 5.971525e+03 2.301128e+02 1.521067e+08 9.096577e+11 25472
94526596 14131200 0.000000e+00 2.861859e+03 8.311454e+01 2.632911e+06 7.541376e+09 920
d041c8f5 1228800 0.000000e+00 2.238745e+02 1.263761e+02 6.850561e+04 2.022376e+07 306
####################
# 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
2
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb2_impl0: cuda
# number of entries
5
# 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
20a74a79 2252800 0.000000e+00 3.197659e+02 1.633721e+02 8.716819e+05 3.514923e+08 2726
d46431bb 2457600 0.000000e+00 3.408506e+02 3.203963e+02 2.609552e+07 1.675385e+10 76560
24c84a50 22118400 0.000000e+00 5.988062e+03 3.050672e+02 1.507315e+08 9.049323e+11 25172
94526596 14131200 0.000000e+00 2.850260e+03 5.292387e+01 2.633640e+06 7.509149e+09 924
d041c8f5 1228800 0.000000e+00 2.356252e+02 1.206585e+02 7.987695e+04 2.375635e+07 339
##################
# Performance Model Version
45
####################
# COMBs
# number of combinations
5
####################
# COMB_4
# 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 (Comb4)
# number of entries
5
# 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 7.614739e+04 1.570335e+04 4.926736e+07 3.911128e+12 647
e6b94418 153600 0.000000e+00 5.080183e+01 9.743801e+00 2.861616e+06 1.507233e+08 56329
c4a08f5f 4646400 0.000000e+00 8.137654e+03 1.863872e+03 1.657640e+07 1.419696e+11 2037
8cfc3ba0 49766400 0.000000e+00 2.267816e+05 3.915016e+04 1.598810e+08 3.733864e+13 705
a7cdf15b 88473600 0.000000e+00 4.662963e+05 5.310256e+04 3.273400e+08 1.546170e+14 702
####################
# 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
5
# 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 1.715310e+03 9.993558e+01 9.566285e+06 1.646484e+10 5577
e6b94418 153600 0.000000e+00 5.113274e+01 1.134809e+01 1.518642e+04 8.147708e+05 297
c4a08f5f 4646400 0.000000e+00 2.017727e+02 2.861061e+01 1.652922e+06 3.402201e+08 8192
8cfc3ba0 49766400 0.000000e+00 6.191028e+03 2.666186e+02 2.317302e+07 1.437309e+11 3743
a7cdf15b 88473600 0.000000e+00 1.292684e+04 4.908603e+02 4.657542e+07 6.029413e+11 3603
####################
# 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
5
# 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 1.694044e+03 9.446026e+01 9.451069e+06 1.606030e+10 5579
e6b94418 153600 0.000000e+00 6.271543e+01 1.282513e+01 1.994351e+04 1.303072e+06 318
c4a08f5f 4646400 0.000000e+00 2.001219e+02 2.795923e+01 1.640199e+06 3.346467e+08 8196
8cfc3ba0 49766400 0.000000e+00 6.117615e+03 2.941760e+02 2.339376e+07 1.434449e+11 3824
a7cdf15b 88473600 0.000000e+00 1.279991e+04 4.666369e+02 4.609249e+07 5.907639e+11 3601
####################
# 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
5
# 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 1.713334e+03 9.294880e+01 9.365083e+06 1.609274e+10 5466
e6b94418 153600 0.000000e+00 4.994209e+01 9.498420e+00 1.588158e+04 8.218495e+05 318
c4a08f5f 4646400 0.000000e+00 2.026661e+02 2.758349e+01 1.561340e+06 3.222922e+08 7704
8cfc3ba0 49766400 0.000000e+00 6.177427e+03 2.260170e+02 2.327037e+07 1.439434e+11 3767
a7cdf15b 88473600 0.000000e+00 1.286952e+04 4.739314e+02 4.932886e+07 6.356995e+11 3833
####################
# 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
3
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for cuda3_impl0 (Comb3)
# number of entries
5
# 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 1.680328e+03 1.055142e+02 9.028404e+06 1.523050e+10 5373
e6b94418 153600 0.000000e+00 5.000193e+01 1.025088e+01 7.350283e+03 3.829751e+05 147
c4a08f5f 4646400 0.000000e+00 1.988673e+02 2.685130e+01 1.504233e+06 3.045963e+08 7564
8cfc3ba0 49766400 0.000000e+00 6.051978e+03 2.759693e+02 2.305804e+07 1.398369e+11 3810
a7cdf15b 88473600 0.000000e+00 1.258002e+04 4.620060e+02 4.874757e+07 6.140725e+11 3875
##################
# Performance Model Version
45
####################
# COMBs
# number of combinations
1
####################
# 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 Comb3_impl0: cpu
# number of entries
11
# 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
431274fd 627200 0.000000e+00 3.507212e+02 3.897980e+01 3.507212e+03 1.245248e+06 10
4c6c92dc 716800 0.000000e+00 5.632527e+02 1.219837e+01 2.844426e+05 1.602882e+08 505
c1dd9b4c 716800 0.000000e+00 8.750618e+02 5.882979e+02 4.419062e+05 5.614729e+08 505
cea37d6d 819200 0.000000e+00 7.822003e+02 3.547361e+02 3.323960e+07 3.134750e+10 42495
617e5fe6 7372800 0.000000e+00 9.115973e+03 3.699894e+03 1.299482e+08 1.379744e+12 14255
471f3021 3379200 0.000000e+00 3.738489e+03 3.995652e+02 1.476703e+06 5.583702e+09 395
be417c6f 3379200 0.000000e+00 2.589893e+03 3.021594e+01 1.023008e+06 2.649841e+09 395
982013a8 1548800 0.000000e+00 7.591599e+02 8.959083e+00 7.591599e+03 5.764040e+06 10
bec19f89 204800 0.000000e+00 2.385948e+02 3.416508e+01 1.476902e+05 3.596065e+07 619
dd524d7f 204800 0.000000e+00 1.775137e+02 1.049637e+01 1.098810e+05 1.957358e+07 619
ad30af9b 51200 0.000000e+00 3.296558e+01 1.621243e+00 6.263460e+02 2.069780e+04 19
##################
# Performance Model Version
45
####################
# COMBs
# number of combinations
1
####################
# COMB_4
# 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 (Comb4)
# number of entries
5
# 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
617e5fe6 7372800 0.000000e+00 9.359014e+03 4.860060e+02 2.358472e+06 2.213249e+10 252
ad30af9b 51200 0.000000e+00 9.876737e+01 1.343538e+01 1.590451e+06 1.599914e+08 16103
982013a8 1548800 0.000000e+00 2.134161e+03 1.815312e+02 4.673812e+06 1.004683e+10 2190
25ebb669 16588800 0.000000e+00 2.092160e+04 1.229935e+03 3.661280e+06 7.686456e+10 175
5104f3b7 29491200 0.000000e+00 3.676615e+04 1.578675e+03 5.110494e+06 1.882396e+11 139
##################
# 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, SCC - 4)
0
####################
# DEV_0
# device id
0
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb3_impl0: cpu
# number of entries
5
# 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
431274fd 627200 0.000000e+00 1.030682e+03 4.474767e+00 1.030682e+04 1.062325e+07 10
cea37d6d 819200 0.000000e+00 1.622851e+03 7.237150e+02 1.772153e+06 3.447889e+09 1092
617e5fe6 7372800 0.000000e+00 3.362389e+04 1.714866e+03 1.028891e+07 3.468531e+11 306
982013a8 1548800 0.000000e+00 3.571803e+03 3.350912e+01 3.571803e+04 1.275890e+08 10
ad30af9b 51200 0.000000e+00 5.419050e+01 1.086799e+01 5.419050e+02 3.054724e+04 10
####################
# 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
0
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb0_impl0: cuda
# 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
ad30af9b 51200 0.000000e+00 1.498917e+03 2.849950e+01 1.199133e+04 1.798051e+07 8
cea37d6d 819200 0.000000e+00 3.668830e+03 8.172072e+02 3.668830e+04 1.412814e+08 10
617e5fe6 7372800 0.000000e+00 1.204932e+04 4.628557e+03 6.024659e+05 8.330481e+09 50
####################
# 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 Comb1_impl0: cuda
# number of entries
2
# 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
cea37d6d 819200 0.000000e+00 3.541486e+03 3.172789e+02 3.541486e+04 1.264279e+08 10
617e5fe6 7372800 0.000000e+00 3.066868e+04 1.574010e+04 3.680241e+05 1.425982e+10 12
####################
# 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
2
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for Comb2_impl0: cuda
# number of entries
2
# 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
cea37d6d 819200 0.000000e+00 3.230490e+03 3.627237e+02 3.230490e+04 1.056763e+08 10
617e5fe6 7372800 0.000000e+00 2.054158e+04 1.124016e+04 4.929979e+05 1.315915e+10 24
##################
# Performance Model Version
45
####################
# COMBs
# number of combinations
5
####################
# 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
0
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for cuda0_impl0 (Comb1)
# number of entries
5
# 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
25ebb669 16588800 0.000000e+00 1.927652e+04 3.502107e+03 9.059964e+05 1.804090e+10 47
617e5fe6 7372800 0.000000e+00 1.229853e+04 1.768810e+03 6.149267e+05 7.719131e+09 50
ad30af9b 51200 0.000000e+00 2.101636e+03 2.756395e+02 1.303014e+05 2.785568e+08 62
982013a8 1548800 0.000000e+00 4.903930e+03 3.193701e+02 2.550044e+05 1.255828e+09 52
5104f3b7 29491200 0.000000e+00 2.463348e+04 2.985247e+03 1.576542e+06 3.940607e+10 64
####################
# 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
2
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for cuda2_impl0 (Comb2)
# number of entries
5
# 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
25ebb669 16588800 0.000000e+00 1.940135e+04 4.068762e+03 6.984485e+05 1.414682e+10 36
617e5fe6 7372800 0.000000e+00 1.194505e+04 1.978674e+03 3.822416e+05 4.691180e+09 32
ad30af9b 51200 0.000000e+00 2.114340e+03 2.957222e+02 1.268604e+05 2.734732e+08 60
982013a8 1548800 0.000000e+00 5.046035e+03 5.465455e+02 1.766112e+05 9.016412e+08 35
5104f3b7 29491200 0.000000e+00 2.329330e+04 2.356823e+03 1.094785e+06 2.576222e+10 47
####################
# 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
3
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for cuda3_impl0 (Comb3)
# number of entries
5
# 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
25ebb669 16588800 0.000000e+00 1.848606e+04 2.220768e+03 5.545817e+05 1.039998e+10 30
617e5fe6 7372800 0.000000e+00 1.174012e+04 1.793250e+03 3.991641e+05 4.795570e+09 34
ad30af9b 51200 0.000000e+00 2.130842e+03 3.337398e+02 1.576823e+05 3.442383e+08 74
982013a8 1548800 0.000000e+00 5.078755e+03 5.140761e+02 2.437802e+05 1.250785e+09 48
5104f3b7 29491200 0.000000e+00 2.451908e+04 3.131104e+03 5.884580e+05 1.466374e+10 24
####################
# 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
1
####################
# DEV_0
# number of cores
1
##########
# number of implementations
1
#####
# Model for cuda1_impl0 (Comb0)
# number of entries
5
# 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
25ebb669 16588800 0.000000e+00 1.807832e+04 2.125912e+03 7.412111e+05 1.358515e+10 41
ad30af9b 51200 0.000000e+00 2.127387e+03 2.904710e+02 1.404075e+05 3.042697e+08 66
617e5fe6 7372800 0.000000e+00 1.177248e+04 1.259016e+03 4.002642e+05 4.765995e+09 34
982013a8 1548800 0.000000e+00 4.993474e+03 5.010162e+02 2.546672e+05 1.284476e+09 51
5104f3b7 29491200