AMD EPYC 9575F HPC Tuning Recommendations

Benchmarks for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2411294-NE-AMDEPYC9526
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HPC Tuning Recommendations
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Processor: AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores / 128 Threads), Motherboard: Supermicro Super Server H13SSL-N v1.01 (3.0 BIOS), Chipset: AMD 1Ah, Memory: 12 x 64GB DDR5-6000MT/s Micron MTC40F2046S1RC64BDY QSFF, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 24.10, Kernel: 6.12.0-rc7-linux-pm-next-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002116
Python Notes: Python 3.12.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

HPC Tuning Recommendations

Changed Processor to AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores).

Security Change: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9575F HPC Tuning RecommendationsOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores / 128 Threads)AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores)Supermicro Super Server H13SSL-N v1.01 (3.0 BIOS)AMD 1Ah12 x 64GB DDR5-6000MT/s Micron MTC40F2046S1RC64BDY QSFF3201GB Micron_7450_MTFDKCB3T2TFSASPEED2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 24.106.12.0-rc7-linux-pm-next-phx (x86_64)GNOME Shell 47.0X ServerGCC 14.2.0ext41024x768ProcessorsMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionAMD EPYC 9575F HPC Tuning Recommendations PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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 performance (Boost: Enabled) - CPU Microcode: 0xb002116 - Python 3.12.7- Default: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - HPC Tuning Recommendations: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Default vs. HPC Tuning Recommendations ComparisonPhoronix Test SuiteBaseline+23.1%+23.1%+46.2%+46.2%+69.3%+69.3%92.3%91.7%83.5%83.4%83.3%82.7%79.5%65.7%44.1%32.3%30.4%29.8%27.9%25.3%24.1%21.7%18.8%18%16.6%13.5%13.5%9.6%9.5%8.8%7.8%6.4%5.9%5.8%5.7%5.4%5.2%QS8MobileNetV2FP16MobileNetV3SmallFP32MobileNetV3SmallFP16MobileNetV2FP32MobileNetV3LargeFP16MobileNetV3LargeFP32MobileNetV23273%6469.6%12867.2%FP16MobileNetV1CORAL2 P264.2%CTS251.4%FP32MobileNetV1CORAL2 P132.4%X.b.i.id.L.M.S - Execution Timed.M.M.S - Execution Time256Bumper Beam144 144 144 - 60160 160 160 - 60d.S.M.S - Mesh Timec2c - FFTW - float - 256d.L.M.S - Mesh TimeS.w.1.0.6.A14.6%Chrysler Neon 1Mi.i.1.C.P.DS.F.P.R11.9%Layered Halfspace11.7%Mount St. Helens11.2%r2c - FFTW - float - 256262626FeCO6_b3lyp_gms6.8%Tomographic Modeld.M.M.S - Mesh TimeH.HB.S.o.W26c2c - FFTW - float - 128simple-H2O4.8%LiH_ae_MSD4.8%4.1%W.l.H4%Li2_STO_ae4%I.a.F.S.I.D.C4%C240 Buckyball3.9%20k Atoms3.5%Fayalite-FIST3.3%O_ae_pyscf_UHF3%S.B.W.u.m2.9%e.G.B.S - 12002.2%MPI CPU - water_GMX50_bare2.1%XNNPACKXNNPACKXNNPACKXNNPACKXNNPACKXNNPACKXNNPACKlibxsmmlibxsmmlibxsmmXNNPACKQuicksilverQuicksilverXNNPACKQuicksilverXcompact3d Incompact3dOpenFOAMOpenFOAMlibxsmmOpenRadiossHigh Performance Conjugate GradientHigh Performance Conjugate GradientOpenFOAMHeFFTe - Highly Efficient FFT for ExascaleOpenFOAMNAMDOpenRadiossXcompact3d Incompact3dACES DGEMMSPECFEM3DSPECFEM3DHeFFTe - Highly Efficient FFT for ExascaleGraph500Graph500Graph500QMCPACKSPECFEM3DOpenFOAMSPECFEM3DOpenRadiossGraph500HeFFTe - Highly Efficient FFT for ExascaleQMCPACKQMCPACKAlgebraic Multi-Grid BenchmarkSPECFEM3DQMCPACKOpenRadiossNWChemLAMMPS Molecular Dynamics SimulatorCP2K Molecular DynamicsQMCPACKLaghoseasyWaveGROMACSDefaultHPC Tuning Recommendations

AMD EPYC 9575F HPC Tuning Recommendationsgromacs: MPI CPU - water_GMX50_barenamd: STMV with 1,066,628 Atomslammps: 20k Atomshpcg: 144 144 144 - 60hpcg: 160 160 160 - 60graph500: 26graph500: 26graph500: 26graph500: 26mt-dgemm: Sustained Floating-Point Rateamg: qmcpack: simple-H2Oqmcpack: Li2_STO_aeqmcpack: FeCO6_b3lyp_gmsqmcpack: O_ae_pyscf_UHFqmcpack: LiH_ae_MSDqmcpack: H4_aecp2k: Fayalite-FISTcp2k: H20-64cp2k: H20-256easywave: e2Asean Grid + BengkuluSept2007 Source - 1200easywave: e2Asean Grid + BengkuluSept2007 Source - 2400specfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Large Mesh Size - Mesh Timeopenfoam: drivaerFastback, Large Mesh Size - Execution Timeincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dgpaw: Carbon Nanotubeheffte: r2c - FFTW - float - 128heffte: r2c - FFTW - float - 256heffte: c2c - FFTW - float - 128heffte: c2c - FFTW - float - 256xnnpack: FP32MobileNetV1xnnpack: FP32MobileNetV2xnnpack: FP32MobileNetV3Largexnnpack: FP32MobileNetV3Smallxnnpack: FP16MobileNetV1xnnpack: FP16MobileNetV2xnnpack: FP16MobileNetV3Largexnnpack: FP16MobileNetV3Smallxnnpack: QS8MobileNetV2libxsmm: 32libxsmm: 64libxsmm: 128libxsmm: 256quicksilver: CORAL2 P1quicksilver: CORAL2 P2quicksilver: CTS2laghos: Sedov Blast Wave, ube_922_hex.meshlaghos: Triple Point Problemnwchem: C240 BuckyballDefaultHPC Tuning Recommendations14.5333.7219953.20941.094040.3481130556000013352900004703780006001530005183.439690319083825019.29572.84169.256142.3152.3588.70262.27114.182137.80220.81451.64316.54816548215.7818447519.0076968306.2065981107.31000888882.7738.4417.7666.0990.69125.1418.97432324.57934484.119326283.1187603.694928380.53237.95593405325.05256827.857332.013374.902223.464178.295242947587258539824674681704654495032948.71799.13358.02422.7366100002466666726510000567.09295.581249.114.2293.2477351.42051.017149.0908142009000014618900004957110006469420004633.217717306456475020.22775.75373.994146.5854.8728.75464.35214.308135.94521.26552.46918.48709624916.419279918.5143789316.9019134246.87288497478.2738.3318.0752.7394.31110.2515.96716524.25671479.468032218.12775517.584036426.06447.01252317245.67947527.837332.913411.072235.079210.419168626513959294114892553385628422617548.41060.62007.93098.9276533331502000017513333551.12293.031298.2OpenBenchmarking.org

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareHPC Tuning RecommendationsDefault48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 314.2314.531. (CXX) g++ options: -O3 -lm
MinAvgMaxHPC Tuning Recommendations36.9248.8346.5Default36.9298.3401.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98443562Default96505637OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024System Power Consumption Monitor2004006008001000

NAMD

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: STMV with 1,066,628 AtomsHPC Tuning RecommendationsDefault0.83741.67482.51223.34964.187SE +/- 0.00833, N = 3SE +/- 0.00564, N = 43.247733.72199
MinAvgMaxHPC Tuning Recommendations56.8218.9347.3Default50.8256.9392.7OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations99379566Default99374648OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0System Power Consumption Monitor2004006008001000

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsHPC Tuning RecommendationsDefault1224364860SE +/- 0.16, N = 3SE +/- 0.14, N = 351.4253.211. (CXX) g++ options: -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations79.8342.7356.6Default84.2390.0401.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.3524.0539.4Default96.4588.0601.4OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022System Power Consumption Monitor160320480640800

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60HPC Tuning RecommendationsDefault1224364860SE +/- 1.04, N = 12SE +/- 0.58, N = 951.0241.091. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
MinAvgMaxHPC Tuning Recommendations25.4336.6347.9Default83.7387.3402.2OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations100578611Default101639679OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 160 160 160 - RT: 60HPC Tuning RecommendationsDefault1122334455SE +/- 0.11, N = 3SE +/- 0.27, N = 349.0940.351. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
MinAvgMaxHPC Tuning Recommendations6.1337.3347.9Default84.2387.0402.1OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations109580607Default106637679OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Power Consumption Monitor2004006008001000

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26HPC Tuning RecommendationsDefault300M600M900M1200M1500M142009000013055600001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26HPC Tuning RecommendationsDefault300M600M900M1200M1500M146189000013352900001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26HPC Tuning RecommendationsDefault110M220M330M440M550M4957110004703780001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26HPC Tuning RecommendationsDefault140M280M420M560M700M6469420006001530001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi
MinAvgMaxHPC Tuning Recommendations8.0337.5349.4Default137.4396.7401.7OpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations108564576Default109636653OpenBenchmarking.orgWatts, Fewer Is BetterGraph500 3.0System Power Consumption Monitor2004006008001000

ACES DGEMM

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateHPC Tuning RecommendationsDefault11002200330044005500SE +/- 7.97, N = 5SE +/- 5.20, N = 54633.225183.441. (CC) gcc options: -ffast-math -mavx2 -O3 -fopenmp -lopenblas
MinAvgMaxHPC Tuning Recommendations1.5181.3266.5Default83.9245.6341.5OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations102.7339.1437.5Default105.2427.8566.3OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0System Power Consumption Monitor140280420560700

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2HPC Tuning RecommendationsDefault700M1400M2100M2800M3500MSE +/- 21054535.14, N = 4SE +/- 11683916.89, N = 430645647503190838250
MinAvgMaxHPC Tuning Recommendations4.4220.6335.1Default0.7261.0399.4OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations100422582Default103508679OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2System Power Consumption Monitor2004006008001000

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2OHPC Tuning RecommendationsDefault510152025SE +/- 0.01, N = 3SE +/- 0.14, N = 1220.2319.301. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations7.7246.9327.1Default82.3333.2401.8OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations100.9412.1484.5Default99.0506.2592.7OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeHPC Tuning RecommendationsDefault20406080100SE +/- 0.16, N = 3SE +/- 0.21, N = 375.7572.841. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations89.6324.2346.2Default103.6373.4398.0OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98.2484.1517.6Default98.0547.7589.6OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsHPC Tuning RecommendationsDefault1632486480SE +/- 0.07, N = 3SE +/- 0.12, N = 373.9969.261. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations1.7298.1322.8Default2.1347.0379.6OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor100200300400500
MinAvgMaxHPC Tuning Recommendations98.7460.4489.9Default100.3536.4573.8OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor140280420560700

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFHPC Tuning RecommendationsDefault306090120150SE +/- 0.88, N = 3SE +/- 1.70, N = 3146.58142.311. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations2.8332.3347.9Default84.7380.5396.3OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98.6502.0517.6Default100.8562.8584.9OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDHPC Tuning RecommendationsDefault1224364860SE +/- 0.15, N = 3SE +/- 0.14, N = 354.8752.361. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations6.1304.3337.1Default135.4358.6382.5OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor100200300400500
MinAvgMaxHPC Tuning Recommendations99.9476.2516.8Default99.3549.5584.9OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeHPC Tuning RecommendationsDefault246810SE +/- 0.010, N = 5SE +/- 0.079, N = 158.7548.7021. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl
MinAvgMaxHPC Tuning Recommendations4.5220.5335.3Default85.1277.2395.1OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations99.0360.1507.2Default98.1422.7584.2OpenBenchmarking.orgWatts, Fewer Is BetterQMCPACK 3.17.1System Power Consumption Monitor160320480640800

CP2K Molecular Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 2024.3Input: Fayalite-FISTHPC Tuning RecommendationsDefault1428425670SE +/- 0.06, N = 3SE +/- 0.10, N = 364.3562.271. (F9X) gfortran options: -fopenmp -march=native -mtune=native -O3 -funroll-loops -fbacktrace -ffree-form -fimplicit-none -std=f2008 -lcp2kstart -lcp2kmc -lcp2kswarm -lcp2kmotion -lcp2kthermostat -lcp2kemd -lcp2ktmc -lcp2kmain -lcp2kdbt -lcp2ktas -lcp2kgrid -lcp2kgriddgemm -lcp2kgridcpu -lcp2kgridref -lcp2kgridcommon -ldbcsrarnoldi -ldbcsrx -lcp2kdbx -lcp2kdbm -lcp2kshg_int -lcp2keri_mme -lcp2kminimax -lcp2khfxbase -lcp2ksubsys -lcp2kxc -lcp2kao -lcp2kpw_env -lcp2kinput -lcp2kpw -lcp2kgpu -lcp2kfft -lcp2kfpga -lcp2kfm -lcp2kcommon -lcp2koffload -lcp2kmpiwrap -lcp2kbase -ldbcsr -lsirius -lspla -lspfft -lsymspg -lvdwxc -l:libhdf5_fortran.a -l:libhdf5.a -lz -lgsl -lelpa_openmp -lcosma -lcosta -lscalapack -lxsmmf -lxsmm -ldl -lpthread -llibgrpp -lxcf03 -lxc -lint2 -lfftw3_mpi -lfftw3 -lfftw3_omp -lmpi_cxx -lmpi -l:libopenblas.a -lvori -lstdc++ -lmpi_usempif08 -lmpi_mpifh -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm
MinAvgMaxHPC Tuning Recommendations7.0317.6347.9Default128.4373.7400.0OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.5509.7539.3Default102.4569.2609.0OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 2024.3Input: H20-64HPC Tuning RecommendationsDefault48121620SE +/- 0.05, N = 4SE +/- 0.12, N = 414.3114.181. (F9X) gfortran options: -fopenmp -march=native -mtune=native -O3 -funroll-loops -fbacktrace -ffree-form -fimplicit-none -std=f2008 -lcp2kstart -lcp2kmc -lcp2kswarm -lcp2kmotion -lcp2kthermostat -lcp2kemd -lcp2ktmc -lcp2kmain -lcp2kdbt -lcp2ktas -lcp2kgrid -lcp2kgriddgemm -lcp2kgridcpu -lcp2kgridref -lcp2kgridcommon -ldbcsrarnoldi -ldbcsrx -lcp2kdbx -lcp2kdbm -lcp2kshg_int -lcp2keri_mme -lcp2kminimax -lcp2khfxbase -lcp2ksubsys -lcp2kxc -lcp2kao -lcp2kpw_env -lcp2kinput -lcp2kpw -lcp2kgpu -lcp2kfft -lcp2kfpga -lcp2kfm -lcp2kcommon -lcp2koffload -lcp2kmpiwrap -lcp2kbase -ldbcsr -lsirius -lspla -lspfft -lsymspg -lvdwxc -l:libhdf5_fortran.a -l:libhdf5.a -lz -lgsl -lelpa_openmp -lcosma -lcosta -lscalapack -lxsmmf -lxsmm -ldl -lpthread -llibgrpp -lxcf03 -lxc -lint2 -lfftw3_mpi -lfftw3 -lfftw3_omp -lmpi_cxx -lmpi -l:libopenblas.a -lvori -lstdc++ -lmpi_usempif08 -lmpi_mpifh -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm
MinAvgMaxHPC Tuning Recommendations7.1244.8346.1Default84.6316.9401.9OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations101470551Default99504628OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 2024.3Input: H20-256HPC Tuning RecommendationsDefault306090120150SE +/- 0.47, N = 3SE +/- 0.29, N = 3135.95137.801. (F9X) gfortran options: -fopenmp -march=native -mtune=native -O3 -funroll-loops -fbacktrace -ffree-form -fimplicit-none -std=f2008 -lcp2kstart -lcp2kmc -lcp2kswarm -lcp2kmotion -lcp2kthermostat -lcp2kemd -lcp2ktmc -lcp2kmain -lcp2kdbt -lcp2ktas -lcp2kgrid -lcp2kgriddgemm -lcp2kgridcpu -lcp2kgridref -lcp2kgridcommon -ldbcsrarnoldi -ldbcsrx -lcp2kdbx -lcp2kdbm -lcp2kshg_int -lcp2keri_mme -lcp2kminimax -lcp2khfxbase -lcp2ksubsys -lcp2kxc -lcp2kao -lcp2kpw_env -lcp2kinput -lcp2kpw -lcp2kgpu -lcp2kfft -lcp2kfpga -lcp2kfm -lcp2kcommon -lcp2koffload -lcp2kmpiwrap -lcp2kbase -ldbcsr -lsirius -lspla -lspfft -lsymspg -lvdwxc -l:libhdf5_fortran.a -l:libhdf5.a -lz -lgsl -lelpa_openmp -lcosma -lcosta -lscalapack -lxsmmf -lxsmm -ldl -lpthread -llibgrpp -lxcf03 -lxc -lint2 -lfftw3_mpi -lfftw3 -lfftw3_omp -lmpi_cxx -lmpi -l:libopenblas.a -lvori -lstdc++ -lmpi_usempif08 -lmpi_mpifh -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm
MinAvgMaxHPC Tuning Recommendations0.7328.5346.7Default2.9382.1400.9OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations99552582Default102626653OpenBenchmarking.orgWatts, Fewer Is BetterCP2K Molecular Dynamics 2024.3System Power Consumption Monitor2004006008001000

easyWave

The easyWave software allows simulating tsunami generation and propagation in the context of early warning systems. EasyWave supports making use of OpenMP for CPU multi-threading and there are also GPU ports available but not currently incorporated as part of this test profile. The easyWave tsunami generation software is run with one of the example/reference input files for measuring the CPU execution time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200HPC Tuning RecommendationsDefault510152025SE +/- 0.16, N = 3SE +/- 0.23, N = 321.2720.811. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxHPC Tuning Recommendations2.0130.9167.2Default55.9166.9218.7OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor60120180240300
MinAvgMaxHPC Tuning Recommendations101.6250.7312.6Default101.7282.5387.8OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34System Power Consumption Monitor100200300400500

OpenBenchmarking.orgSeconds, Fewer Is BettereasyWave r34Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400HPC Tuning RecommendationsDefault1224364860SE +/- 0.49, N = 15SE +/- 0.13, N = 352.4751.641. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxHPC Tuning Recommendations3.6150.4185.3Default0.5167.2192.5OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34CPU Power Consumption Monitor50100150200250
MinAvgMaxHPC Tuning Recommendations95.4275.7353.2Default102.8309.3342.8OpenBenchmarking.orgWatts, Fewer Is BettereasyWave r34System Power Consumption Monitor100200300400500

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered HalfspaceHPC Tuning RecommendationsDefault510152025SE +/- 0.04, N = 3SE +/- 0.18, N = 318.4916.551. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations3.2254.3339.5Default85.0319.7402.1OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations95442540Default99517655OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered HalfspaceHPC Tuning RecommendationsDefault48121620SE +/- 0.09, N = 3SE +/- 0.14, N = 316.4215.781. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations5.6231.0339.9Default106.0316.5402.1OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97427539Default99503643OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous HalfspaceHPC Tuning RecommendationsDefault3691215SE +/- 0.018784174, N = 5SE +/- 0.067842113, N = 58.5143789319.0076968301. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations0.0210.7333.2Default1.6245.0401.9OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations96.9356.2508.1Default98.2419.3614.1OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. HelensHPC Tuning RecommendationsDefault246810SE +/- 0.013455303, N = 5SE +/- 0.051223682, N = 96.9019134246.2065981101. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations2.0200.4334.9Default66.2242.1374.8OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor100200300400500
MinAvgMaxHPC Tuning Recommendations98325520Default99387629OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic ModelHPC Tuning RecommendationsDefault246810SE +/- 0.017950948, N = 5SE +/- 0.069507248, N = 66.8728849747.3100088881. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations3.6200.8332.3Default100.1257.1401.9OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.1345.2505.6Default97.8409.9612.7OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1System Power Consumption Monitor160320480640800

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldHPC Tuning RecommendationsDefault20406080100SE +/- 0.26, N = 3SE +/- 0.12, N = 378.2782.77
MinAvgMaxHPC Tuning Recommendations5.2308.6349.2Default2.1363.4399.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.9494.3544.0Default107.5572.9612.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationHPC Tuning RecommendationsDefault918273645SE +/- 0.02, N = 3SE +/- 0.41, N = 438.3338.44
MinAvgMaxHPC Tuning Recommendations56.5301.4345.7Default50.3347.4399.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations99.2467.1534.7Default98.9546.0607.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestHPC Tuning RecommendationsDefault48121620SE +/- 0.02, N = 3SE +/- 0.16, N = 318.0717.76
MinAvgMaxHPC Tuning Recommendations4.0233.8346.0Default56.8286.3399.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98.1405.0536.5Default100.3457.4611.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamHPC Tuning RecommendationsDefault1530456075SE +/- 0.19, N = 3SE +/- 0.61, N = 1552.7366.09
MinAvgMaxHPC Tuning Recommendations56.2308.7341.2Default0.7356.9393.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98.9475.2518.6Default98.6542.4592.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerHPC Tuning RecommendationsDefault20406080100SE +/- 0.16, N = 3SE +/- 0.35, N = 394.3190.69
MinAvgMaxHPC Tuning Recommendations4.8314.4347.8Default56.9369.5401.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98.6507.4545.1Default98.8573.0621.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor160320480640800

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MHPC Tuning RecommendationsDefault306090120150SE +/- 0.10, N = 3SE +/- 1.75, N = 12110.25125.14
MinAvgMaxHPC Tuning Recommendations1.4308.0354.1Default50.9356.6402.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations99546616Default103603683OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption Monitor2004006008001000

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeHPC Tuning RecommendationsDefault51015202515.9718.971. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeHPC Tuning RecommendationsDefault61218243024.2624.581. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxHPC Tuning Recommendations0.3277.4356.0Default0.6302.0401.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations104481577Default106555638OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeHPC Tuning RecommendationsDefault2040608010079.4784.121. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeHPC Tuning RecommendationsDefault60120180240300218.13283.121. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxHPC Tuning Recommendations1.8339.6360.1Default53.0386.9401.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97589629Default101638679OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Large Mesh Size - Mesh TimeHPC Tuning RecommendationsDefault130260390520650517.58603.691. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Large Mesh Size - Execution TimeHPC Tuning RecommendationsDefault2K4K6K8K10K6426.068380.531. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption MonitorHPC Tuning RecommendationsDefault70140210280350Min: 76.13 / Avg: 350.87 / Max: 357.15Min: 54.24 / Avg: 392.08 / Max: 401.87
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10System Power Consumption MonitorHPC Tuning RecommendationsDefault120240360480600Min: 104 / Avg: 599.41 / Max: 635.5Min: 109.8 / Avg: 642.84 / Max: 689.8

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionHPC Tuning RecommendationsDefault246810SE +/- 0.02216234, N = 6SE +/- 0.05610512, N = 57.012523177.955934051. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations0.0209.2345.9Default138.1269.9401.8OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations104332604Default105436674OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dHPC Tuning RecommendationsDefault70140210280350SE +/- 3.22, N = 9SE +/- 7.62, N = 9245.68325.051. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxHPC Tuning Recommendations1.0333.4344.1Default0.1387.2401.6OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations101581613Default106642685OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11System Power Consumption Monitor2004006008001000

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 23.6Input: Carbon NanotubeHPC Tuning RecommendationsDefault714212835SE +/- 0.07, N = 3SE +/- 0.17, N = 327.8427.861. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
MinAvgMaxHPC Tuning Recommendations2.7292.4361.6Default89.8350.3401.7OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations105526605Default105585660OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6System Power Consumption Monitor2004006008001000

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128HPC Tuning RecommendationsDefault70140210280350SE +/- 3.79, N = 15SE +/- 1.37, N = 14332.91332.011. (CXX) g++ options: -O3
MinAvgMaxHPC Tuning Recommendations1.054.873.7Default0.658.375.3OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption Monitor20406080100
MinAvgMaxHPC Tuning Recommendations98.0128.7243.3Default98.6122.6264.0OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption Monitor70140210280350

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256HPC Tuning RecommendationsDefault90180270360450SE +/- 2.78, N = 15SE +/- 2.51, N = 13411.07374.901. (CXX) g++ options: -O3
MinAvgMaxHPC Tuning Recommendations1.257.877.6Default0.860.967.4OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption Monitor20406080100
MinAvgMaxHPC Tuning Recommendations95.8110.6193.0Default97.1122.4223.2OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption Monitor60120180240300

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128HPC Tuning RecommendationsDefault50100150200250SE +/- 3.65, N = 15SE +/- 0.74, N = 14235.08223.461. (CXX) g++ options: -O3
MinAvgMaxHPC Tuning Recommendations1.454.672.9Default56.761.671.7OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption Monitor20406080100
MinAvgMaxHPC Tuning Recommendations95.2128.0236.1Default95.4105.9168.3OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption Monitor60120180240300

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256HPC Tuning RecommendationsDefault50100150200250SE +/- 0.34, N = 13SE +/- 2.31, N = 15210.42178.301. (CXX) g++ options: -O3
MinAvgMaxHPC Tuning Recommendations1.759.582.0Default57.071.982.1OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption Monitor20406080100
MinAvgMaxHPC Tuning Recommendations95.2130.9273.3Default96.5140.7338.4OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption Monitor80160240320400

XNNPACK

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV1HPC Tuning RecommendationsDefault5001000150020002500SE +/- 170.15, N = 10SE +/- 5.13, N = 3168624291. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV2HPC Tuning RecommendationsDefault10002000300040005000SE +/- 49.78, N = 10SE +/- 24.31, N = 3265147581. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3LargeHPC Tuning RecommendationsDefault16003200480064008000SE +/- 23.40, N = 10SE +/- 43.97, N = 3395972581. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP32MobileNetV3SmallHPC Tuning RecommendationsDefault12002400360048006000SE +/- 99.39, N = 10SE +/- 13.20, N = 3294153981. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV1HPC Tuning RecommendationsDefault5001000150020002500SE +/- 75.71, N = 10SE +/- 1.45, N = 3148924671. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV2HPC Tuning RecommendationsDefault10002000300040005000SE +/- 73.59, N = 10SE +/- 14.43, N = 3255346811. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3LargeHPC Tuning RecommendationsDefault15003000450060007500SE +/- 55.41, N = 10SE +/- 11.89, N = 3385670461. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: FP16MobileNetV3SmallHPC Tuning RecommendationsDefault12002400360048006000SE +/- 15.58, N = 10SE +/- 65.16, N = 3284254491. (CXX) g++ options: -O3 -lrt -lm

OpenBenchmarking.orgus, Fewer Is BetterXNNPACK b7b048Model: QS8MobileNetV2HPC Tuning RecommendationsDefault11002200330044005500SE +/- 75.96, N = 10SE +/- 15.76, N = 3261750321. (CXX) g++ options: -O3 -lrt -lm
MinAvgMaxHPC Tuning Recommendations1.9224.7253.8Default126.0294.5327.8OpenBenchmarking.orgWatts, Fewer Is BetterXNNPACK b7b048CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations97.7353.6403.1Default94.9438.7489.6OpenBenchmarking.orgWatts, Fewer Is BetterXNNPACK b7b048System Power Consumption Monitor130260390520650

libxsmm

Libxsmm is an open-source library for specialized dense and sparse matrix operations and deep learning primitives. Libxsmm supports making use of Intel AMX, AVX-512, and other modern CPU instruction set capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 32HPC Tuning RecommendationsDefault2004006008001000SE +/- 6.50, N = 15SE +/- 0.78, N = 6548.4948.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxHPC Tuning Recommendations1.5224.4328.6Default105.8250.2402.2OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations96401595Default96396685OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 64HPC Tuning RecommendationsDefault400800120016002000SE +/- 8.66, N = 15SE +/- 2.83, N = 61060.61799.11. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxHPC Tuning Recommendations0.6234.2337.2Default108.7264.5402.1OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98421605Default99417697OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 128HPC Tuning RecommendationsDefault7001400210028003500SE +/- 24.99, N = 4SE +/- 10.68, N = 32007.93358.01. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxHPC Tuning Recommendations89.2184.8285.0Default79.0206.8336.1OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations100317504Default99361702OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645System Power Consumption Monitor2004006008001000

OpenBenchmarking.orgGFLOPS/s, More Is Betterlibxsmm 2-1.17-3645M N K: 256HPC Tuning RecommendationsDefault7001400210028003500SE +/- 23.61, N = 3SE +/- 4.19, N = 33098.92422.71. (CXX) g++ options: -dynamic -Bstatic -static-libgcc -lgomp -lm -lrt -ldl -lquadmath -lstdc++ -pthread -fPIC -std=c++14 -O2 -fopenmp-simd -funroll-loops -ftree-vectorize -fdata-sections -ffunction-sections -fvisibility=hidden -msse4.2
MinAvgMaxHPC Tuning Recommendations1.9236.7327.5Default107.8296.6387.2OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645CPU Power Consumption Monitor100200300400500
MinAvgMaxHPC Tuning Recommendations98387556Default103486644OpenBenchmarking.orgWatts, Fewer Is Betterlibxsmm 2-1.17-3645System Power Consumption Monitor2004006008001000

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1HPC Tuning RecommendationsDefault8M16M24M32M40MSE +/- 100388.14, N = 3SE +/- 80000.00, N = 327653333366100001. (CXX) g++ options: -fopenmp -O3 -march=native
MinAvgMaxHPC Tuning Recommendations0.7238.8274.3Default0.1278.0325.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations98.3373.7417.6Default100.0419.6484.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818System Power Consumption Monitor120240360480600

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2HPC Tuning RecommendationsDefault5M10M15M20M25MSE +/- 11547.01, N = 3SE +/- 29627.31, N = 315020000246666671. (CXX) g++ options: -fopenmp -O3 -march=native
MinAvgMaxHPC Tuning Recommendations2.2213.7219.3Default72.5293.5302.9OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations96.3335.1341.2Default97.5436.2452.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818System Power Consumption Monitor120240360480600

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2HPC Tuning RecommendationsDefault6M12M18M24M30MSE +/- 110503.90, N = 3SE +/- 60827.63, N = 317513333265100001. (CXX) g++ options: -fopenmp -O3 -march=native
MinAvgMaxHPC Tuning Recommendations109.1253.0259.3Default0.4303.6316.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818CPU Power Consumption Monitor80160240320400
MinAvgMaxHPC Tuning Recommendations97.3385.5396.7Default98.8459.3479.5OpenBenchmarking.orgWatts, Fewer Is BetterQuicksilver 20230818System Power Consumption Monitor120240360480600

Laghos

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Sedov Blast Wave, ube_922_hex.meshHPC Tuning RecommendationsDefault120240360480600SE +/- 5.64, N = 3SE +/- 3.42, N = 3551.12567.091. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
MinAvgMaxHPC Tuning Recommendations0.8298.2336.5Default81.7371.9401.8OpenBenchmarking.orgWatts, Fewer Is BetterLaghos 3.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.3461.1504.9Default99.0545.1595.4OpenBenchmarking.orgWatts, Fewer Is BetterLaghos 3.1System Power Consumption Monitor160320480640800

OpenBenchmarking.orgMajor Kernels Total Rate, More Is BetterLaghos 3.1Test: Triple Point ProblemHPC Tuning RecommendationsDefault60120180240300SE +/- 2.26, N = 3SE +/- 1.56, N = 3293.03295.581. (CXX) g++ options: -O3 -std=c++11 -lmfem -lHYPRE -lmetis -lrt -lmpi_cxx -lmpi
MinAvgMaxHPC Tuning Recommendations0.5291.6342.2Default139.0359.9401.8OpenBenchmarking.orgWatts, Fewer Is BetterLaghos 3.1CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations97.8456.8515.3Default100.2529.5599.0OpenBenchmarking.orgWatts, Fewer Is BetterLaghos 3.1System Power Consumption Monitor160320480640800

NWChem

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.2.3Input: C240 BuckyballHPC Tuning RecommendationsDefault300600900120015001298.21249.11. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lfcidump -lgwmol -lga -larmci -lpeigs -l64to32 -llapack -lopenblas -lpthread -lrt -lcomex -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -ffast-math -std=legacy -fdefault-integer-8 -O0
MinAvgMaxHPC Tuning Recommendations2.0339.3355.6Default83.7391.1402.0OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.2.3CPU Power Consumption Monitor110220330440550
MinAvgMaxHPC Tuning Recommendations98530586Default100602654OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.2.3System Power Consumption Monitor2004006008001000

65 Results Shown

GROMACS
NAMD
LAMMPS Molecular Dynamics Simulator
High Performance Conjugate Gradient:
  144 144 144 - 60
  160 160 160 - 60
Graph500:
  26:
    bfs median_TEPS
    bfs max_TEPS
    sssp median_TEPS
    sssp max_TEPS
ACES DGEMM
Algebraic Multi-Grid Benchmark
QMCPACK:
  simple-H2O
  Li2_STO_ae
  FeCO6_b3lyp_gms
  O_ae_pyscf_UHF
  LiH_ae_MSD
  H4_ae
CP2K Molecular Dynamics:
  Fayalite-FIST
  H20-64
  H20-256
easyWave:
  e2Asean Grid + BengkuluSept2007 Source - 1200
  e2Asean Grid + BengkuluSept2007 Source - 2400
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
  Homogeneous Halfspace
  Mount St. Helens
  Tomographic Model
OpenRadioss:
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  Cell Phone Drop Test
  Bumper Beam
  INIVOL and Fluid Structure Interaction Drop Container
  Chrysler Neon 1M
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Large Mesh Size - Mesh Time
  drivaerFastback, Large Mesh Size - Execution Time
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
GPAW
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - FFTW - float - 128
  r2c - FFTW - float - 256
  c2c - FFTW - float - 128
  c2c - FFTW - float - 256
XNNPACK:
  FP32MobileNetV1
  FP32MobileNetV2
  FP32MobileNetV3Large
  FP32MobileNetV3Small
  FP16MobileNetV1
  FP16MobileNetV2
  FP16MobileNetV3Large
  FP16MobileNetV3Small
  QS8MobileNetV2
libxsmm:
  32
  64
  128
  256
Quicksilver:
  CORAL2 P1
  CORAL2 P2
  CTS2
Laghos:
  Sedov Blast Wave, ube_922_hex.mesh
  Triple Point Problem
NWChem

Default

Processor: AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores / 128 Threads), Motherboard: Supermicro Super Server H13SSL-N v1.01 (3.0 BIOS), Chipset: AMD 1Ah, Memory: 12 x 64GB DDR5-6000MT/s Micron MTC40F2046S1RC64BDY QSFF, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 24.10, Kernel: 6.12.0-rc7-linux-pm-next-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002116
Python Notes: Python 3.12.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 November 2024 02:36 by user phoronix.

HPC Tuning Recommendations

Processor: AMD EPYC 9575F 64-Core @ 3.30GHz (64 Cores), Motherboard: Supermicro Super Server H13SSL-N v1.01 (3.0 BIOS), Chipset: AMD 1Ah, Memory: 12 x 64GB DDR5-6000MT/s Micron MTC40F2046S1RC64BDY QSFF, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe

OS: Ubuntu 24.10, Kernel: 6.12.0-rc7-linux-pm-next-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002116
Python Notes: Python 3.12.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 November 2024 12:04 by user phoronix.