EPYC Linux 5.9

2 x AMD EPYC 7272 12-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009224-FI-EPYCLINUX47
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Linux 5.8-rc6
September 22 2020
  10 Hours, 49 Minutes
Linux 5.8.10
September 22 2020
  4 Hours, 13 Minutes
Linux 5.9-rc6+
September 22 2020
  10 Hours, 55 Minutes
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EPYC Linux 5.9OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7272 12-Core @ 2.90GHz (24 Cores / 48 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse504GB280GB INTEL SSDPE21D280GAASPEEDVE2282 x Intel 10G X550TUbuntu 20.045.8.0-050800rc6daily20200721-generic (x86_64) 202007205.8.10-050810-generic (x86_64)5.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionEPYC Linux 5.9 BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301034- Python 2.7.18rc1 + Python 3.8.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+Result OverviewPhoronix Test Suite100%102%104%105%Mobile Neural NetworkNCNNKripkeIncompact3DGPAW

EPYC Linux 5.9incompact3d: Cylindergpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenet_int8ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetncnn: CPU - mnasnetncnn: CPU - blazefacencnn: CPU - googlenet_int8ncnn: CPU - vgg16_int8ncnn: CPU - resnet18_int8ncnn: CPU - alexnetncnn: CPU - resnet50_int8ncnn: CPU - mobilenetv2_yolov3kripke: Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+224.495275113.23013.14640.21813.9689.32543.01325.9218.1322.6521.727.8969.27120.9535.2312.1993.8029.8661873427222.295451114.47014.97640.83115.85610.12642.84926.9616.2421.8225.858.7584.66127.4735.8812.2092.4932.1462763517220.988174113.51113.98640.09014.24510.81243.44928.0617.3924.1522.188.4470.84118.2036.1712.3192.3330.6863306793OpenBenchmarking.org

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+50100150200250SE +/- 0.65, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 3224.50222.30220.991. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+4080120160200Min: 223.52 / Avg: 224.5 / Max: 225.72Min: 221.77 / Avg: 222.3 / Max: 223.04Min: 220.53 / Avg: 220.99 / Max: 221.651. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+306090120150SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.50, N = 3113.23114.47113.511. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+20406080100Min: 112.64 / Avg: 113.23 / Max: 113.87Min: 114.25 / Avg: 114.47 / Max: 114.67Min: 112.78 / Avg: 113.51 / Max: 114.471. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620SE +/- 0.41, N = 12SE +/- 0.67, N = 9SE +/- 0.24, N = 1213.1514.9813.99MIN: 10.52 / MAX: 20.05MIN: 11.65 / MAX: 23MIN: 10.28 / MAX: 19.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620Min: 11.07 / Avg: 13.15 / Max: 16.14Min: 13.14 / Avg: 14.98 / Max: 18.9Min: 12.45 / Avg: 13.99 / Max: 15.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+918273645SE +/- 0.64, N = 12SE +/- 0.64, N = 9SE +/- 0.47, N = 1240.2240.8340.09MIN: 33.55 / MAX: 150.88MIN: 34.58 / MAX: 136.91MIN: 34.67 / MAX: 136.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+816243240Min: 36.68 / Avg: 40.22 / Max: 43.6Min: 37.77 / Avg: 40.83 / Max: 42.85Min: 37.09 / Avg: 40.09 / Max: 42.221. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620SE +/- 1.28, N = 12SE +/- 1.31, N = 9SE +/- 1.16, N = 1213.9715.8614.25MIN: 7.57 / MAX: 27.35MIN: 6.77 / MAX: 27.9MIN: 7.55 / MAX: 31.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620Min: 9.34 / Avg: 13.97 / Max: 21.29Min: 8.72 / Avg: 15.86 / Max: 22.72Min: 8.44 / Avg: 14.25 / Max: 21.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+3691215SE +/- 0.625, N = 12SE +/- 0.719, N = 9SE +/- 0.637, N = 129.32510.12610.812MIN: 6.45 / MAX: 22.74MIN: 6.32 / MAX: 21.92MIN: 6.53 / MAX: 17.551. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+3691215Min: 6.94 / Avg: 9.32 / Max: 12.39Min: 7.23 / Avg: 10.13 / Max: 14.59Min: 7.61 / Avg: 10.81 / Max: 15.091. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+1020304050SE +/- 0.32, N = 12SE +/- 0.43, N = 9SE +/- 0.29, N = 1243.0142.8543.45MIN: 37.29 / MAX: 208.57MIN: 37.24 / MAX: 265.28MIN: 38.41 / MAX: 235.341. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+918273645Min: 41.32 / Avg: 43.01 / Max: 44.71Min: 40.65 / Avg: 42.85 / Max: 44.92Min: 41.66 / Avg: 43.45 / Max: 45.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+714212835SE +/- 0.40, N = 12SE +/- 0.45, N = 3SE +/- 1.12, N = 1225.9226.9628.06MIN: 23.3 / MAX: 34.26MIN: 23.61 / MAX: 42.52MIN: 23.38 / MAX: 95.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+612182430Min: 24.29 / Avg: 25.92 / Max: 28.01Min: 26.3 / Avg: 26.96 / Max: 27.82Min: 24.5 / Avg: 28.06 / Max: 36.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620SE +/- 1.14, N = 12SE +/- 4.39, N = 3SE +/- 1.82, N = 1218.1316.2417.39MIN: 10.45 / MAX: 52.44MIN: 11.22 / MAX: 29.7MIN: 10.52 / MAX: 215.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+510152025Min: 10.76 / Avg: 18.13 / Max: 23.62Min: 11.72 / Avg: 16.24 / Max: 25.01Min: 10.79 / Avg: 17.39 / Max: 28.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+612182430SE +/- 0.56, N = 12SE +/- 0.98, N = 3SE +/- 1.28, N = 1222.6521.8224.15MIN: 13.09 / MAX: 44.24MIN: 16.97 / MAX: 34.26MIN: 13.88 / MAX: 67.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+612182430Min: 19.65 / Avg: 22.65 / Max: 26.3Min: 19.98 / Avg: 21.82 / Max: 23.34Min: 19.19 / Avg: 24.15 / Max: 34.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+612182430SE +/- 1.67, N = 12SE +/- 1.49, N = 3SE +/- 1.69, N = 1221.7225.8522.18MIN: 10.48 / MAX: 61.29MIN: 10.53 / MAX: 34.21MIN: 10.29 / MAX: 51.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+612182430Min: 12.92 / Avg: 21.72 / Max: 29.58Min: 23.55 / Avg: 25.85 / Max: 28.64Min: 12.99 / Avg: 22.18 / Max: 31.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+246810SE +/- 0.30, N = 12SE +/- 0.50, N = 3SE +/- 0.70, N = 127.898.758.44MIN: 4.75 / MAX: 11.08MIN: 4.95 / MAX: 10.07MIN: 5.02 / MAX: 579.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+3691215Min: 6.38 / Avg: 7.89 / Max: 9.95Min: 7.78 / Avg: 8.75 / Max: 9.4Min: 6.31 / Avg: 8.44 / Max: 14.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+20406080100SE +/- 0.27, N = 12SE +/- 13.75, N = 3SE +/- 1.30, N = 1269.2784.6670.84MIN: 63.84 / MAX: 187.59MIN: 64.86 / MAX: 5374.31MIN: 64.63 / MAX: 3425.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+1632486480Min: 67.29 / Avg: 69.27 / Max: 71.01Min: 68.97 / Avg: 84.66 / Max: 112.07Min: 68.19 / Avg: 70.84 / Max: 84.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+306090120150SE +/- 1.21, N = 12SE +/- 1.50, N = 3SE +/- 1.19, N = 12120.95127.47118.20MIN: 93.52 / MAX: 1068.39MIN: 98.15 / MAX: 398.17MIN: 93.13 / MAX: 679.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+20406080100Min: 114.18 / Avg: 120.95 / Max: 126.2Min: 125.62 / Avg: 127.47 / Max: 130.44Min: 112.17 / Avg: 118.2 / Max: 123.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+816243240SE +/- 0.69, N = 12SE +/- 1.36, N = 3SE +/- 1.24, N = 1235.2335.8836.17MIN: 31.44 / MAX: 139.23MIN: 30.74 / MAX: 80.83MIN: 30.84 / MAX: 340.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+816243240Min: 32.22 / Avg: 35.23 / Max: 39.16Min: 33.29 / Avg: 35.88 / Max: 37.88Min: 31.35 / Avg: 36.17 / Max: 45.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+3691215SE +/- 0.04, N = 12SE +/- 0.11, N = 3SE +/- 0.08, N = 1212.1912.2012.31MIN: 11.84 / MAX: 43.48MIN: 11.91 / MAX: 14.72MIN: 11.86 / MAX: 15.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+48121620Min: 11.99 / Avg: 12.19 / Max: 12.48Min: 12.04 / Avg: 12.2 / Max: 12.4Min: 11.98 / Avg: 12.31 / Max: 12.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+20406080100SE +/- 0.44, N = 12SE +/- 0.01, N = 3SE +/- 0.37, N = 1293.8092.4992.33MIN: 90.04 / MAX: 676.56MIN: 89.9 / MAX: 181.85MIN: 87.78 / MAX: 213.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+20406080100Min: 91.53 / Avg: 93.8 / Max: 96.49Min: 92.48 / Avg: 92.49 / Max: 92.51Min: 89.58 / Avg: 92.33 / Max: 93.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+714212835SE +/- 1.29, N = 12SE +/- 4.35, N = 3SE +/- 1.42, N = 1229.8632.1430.68MIN: 25.04 / MAX: 62.75MIN: 25.31 / MAX: 48.23MIN: 25.26 / MAX: 2484.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+714212835Min: 26.48 / Avg: 29.86 / Max: 40.23Min: 27.43 / Avg: 32.14 / Max: 40.83Min: 26.98 / Avg: 30.68 / Max: 44.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+14M28M42M56M70MSE +/- 855690.21, N = 3SE +/- 1011103.97, N = 3SE +/- 457622.40, N = 36187342762763517633067931. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.8-rc6Linux 5.8.10Linux 5.9-rc6+11M22M33M44M55MMin: 60227280 / Avg: 61873426.67 / Max: 63101800Min: 61687400 / Avg: 62763516.67 / Max: 64784300Min: 62554570 / Avg: 63306793.33 / Max: 641344301. (CXX) g++ options: -O3 -fopenmp