NVIDIA CUDA GPU Myocyte

AMD EPYC 7262 8-Core testing with a GIGABYTE MZ32-AR0-00 v01000100 (R21 BIOS) and Gigabyte NVIDIA GeForce RTX 3080 Lite Hash Rate 10GB 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 2401223-NE-NVIDIACUD42
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
AMD EPYC 7262 8-Core
January 23
  3 Minutes


NVIDIA CUDA GPU MyocyteOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7262 8-Core @ 3.20GHz (8 Cores / 16 Threads)GIGABYTE MZ32-AR0-00 v01000100 (R21 BIOS)AMD Starship/Matisse128GB1000GB Samsung SSD 980 PRO 1TBGigabyte NVIDIA GeForce RTX 3080 Lite Hash Rate 10GBNVIDIA GA102 HD Audio2 x Intel I350Ubuntu 22.046.5.0-14-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIAOpenCL 3.0 CUDA 12.2.1481.3.242GCC 11.4.0 + CUDA 11.8ext4800x600ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA CUDA GPU Myocyte BenchmarksSystem 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,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-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 ondemand (Boost: Enabled) - CPU Microcode: 0x830107a - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: NVIDIA CUDA GPU MyocyteAMD EPYC 7262 8-Core918273645SE +/- 0.49, N = 341.551. (CXX) g++ options: -m64 -lm -lcuda -lcudart -lcudadevrt -lcudart_static -lrt -lpthread -ldl