gp

docker testing on Ubuntu 22.04 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 2307151-NE-GP953324986
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD EPYC 9254 24-Core - llvmpipe - Supermicro
July 15 2023
  4 Minutes


gpOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9254 24-Core @ 4.15GHz (24 Cores / 48 Threads)Supermicro H13SSL-N v1.01 (1.1a BIOS)AMD Device 14a4192GB512GB Micron_M600_MTFDllvmpipeMellanox MT28908 + 2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 22.044.18.0-425.19.2.el8_7.x86_64 (x86_64)Xfce 4.16X Server4.5 Mesa 22.2.5-0ubuntu0.1~22.04.3 (LLVM 15.0.7 256 bits)1.3.224GCC 11.3.0 + Clang 14.0.0-1ubuntu1 + CUDA 12.1fuseblk1846x980dockerProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSystem LayerGp BenchmarksSystem Logs- Transparent Huge Pages: always- --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,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0xa101111 - Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

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 NanotubeAMD EPYC 9254 24-Core - llvmpipe - Supermicro20406080100SE +/- 0.12, N = 376.001. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi