bigsur-lancium-gpu-test

2 x Intel Xeon E5-2680 v4 testing with a Quanta Cloud S2VM-MB (S2VM3A05 BIOS) and ASPEED 11GB on Ubuntu 18.04 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 2006018-WZLA-BIGSURL38
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Big Sur with 8x K80
June 01 2020
  43 Minutes
Big Sur with 8x K80 1
June 01 2020
  47 Minutes
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bigsur-lancium-gpu-testOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon E5-2680 v4 @ 3.30GHz (28 Cores / 56 Threads)Quanta Cloud S2VM-MB (S2VM3A05 BIOS)Intel Xeon E7 v4/Xeon252GB500GB CT500MX500SSD1ASPEED 11GB2 x Mellanox MT27710Ubuntu 18.044.15.0-101-generic (x86_64)X ServerOpenCL 1.2 CUDA 10.2.131GCC 7.5.0 + CUDA 9.1GCC 6.5.0 20181026 + CUDA 9.1ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerOpenCLCompilersFile-SystemScreen ResolutionBigsur-lancium-gpu-test BenchmarksSystem Logs- Big Sur with 8x K80: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Big Sur with 8x K80 1: --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,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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-as=/usr/bin/x86_64-linux-gnu-as --with-default-libstdcxx-abi=new --with-ld=/usr/bin/x86_64-linux-gnu-ld --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xb000038- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

bigsur-lancium-gpu-testshoc: OpenCL - Triadshoc: OpenCL - FFT SPshoc: OpenCL - MD5 Hashshoc: OpenCL - Max SP Flopsshoc: OpenCL - Bus Speed Downloadshoc: OpenCL - Bus Speed Readbackshoc: OpenCL - Texture Read Bandwidthcl-mem: Copycl-mem: Readcl-mem: Writerodinia: OpenCL LavaMDrodinia: OpenCL Myocyterodinia: OpenCL Heartwallrodinia: OpenCL Particle Filternamd-cuda: ATPase Simulation - 327,506 AtomsBig Sur with 8x K80Big Sur with 8x K80 17.4435258.2713.14163687.5411.960412.4036244.225131.2145.2142.923.56488.71723.90332.7900.120847.3530255.4133.14193689.2411.959312.3627244.564131.2145.2143.123.44890.18324.23931.9170.11977OpenBenchmarking.org

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: TriadBig Sur with 8x K80Big Sur with 8x K80 1246810SE +/- 0.0032, N = 3SE +/- 0.0184, N = 37.44357.35301. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: TriadBig Sur with 8x K80Big Sur with 8x K80 13691215Min: 7.44 / Avg: 7.44 / Max: 7.45Min: 7.32 / Avg: 7.35 / Max: 7.381. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPBig Sur with 8x K80Big Sur with 8x K80 160120180240300SE +/- 3.25, N = 5SE +/- 2.80, N = 15258.27255.411. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: FFT SPBig Sur with 8x K80Big Sur with 8x K80 150100150200250Min: 245.28 / Avg: 258.27 / Max: 262.02Min: 234.75 / Avg: 255.41 / Max: 262.851. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashBig Sur with 8x K80Big Sur with 8x K80 10.70691.41382.12072.82763.5345SE +/- 0.0002, N = 3SE +/- 0.0004, N = 33.14163.14191. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: MD5 HashBig Sur with 8x K80Big Sur with 8x K80 1246810Min: 3.14 / Avg: 3.14 / Max: 3.14Min: 3.14 / Avg: 3.14 / Max: 3.141. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsBig Sur with 8x K80Big Sur with 8x K80 18001600240032004000SE +/- 1.38, N = 3SE +/- 1.39, N = 33687.543689.241. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Max SP FlopsBig Sur with 8x K80Big Sur with 8x K80 16001200180024003000Min: 3685.38 / Avg: 3687.54 / Max: 3690.1Min: 3686.82 / Avg: 3689.24 / Max: 3691.621. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadBig Sur with 8x K80Big Sur with 8x K80 13691215SE +/- 0.06, N = 3SE +/- 0.06, N = 311.9611.961. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed DownloadBig Sur with 8x K80Big Sur with 8x K80 13691215Min: 11.84 / Avg: 11.96 / Max: 12.02Min: 11.85 / Avg: 11.96 / Max: 12.021. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackBig Sur with 8x K80Big Sur with 8x K80 13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 312.4012.361. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Bus Speed ReadbackBig Sur with 8x K80Big Sur with 8x K80 148121620Min: 12.4 / Avg: 12.4 / Max: 12.4Min: 12.36 / Avg: 12.36 / Max: 12.371. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthBig Sur with 8x K80Big Sur with 8x K80 150100150200250SE +/- 0.75, N = 3SE +/- 0.74, N = 3244.23244.561. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft
OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2015-11-10Target: OpenCL - Benchmark: Texture Read BandwidthBig Sur with 8x K80Big Sur with 8x K80 14080120160200Min: 242.74 / Avg: 244.23 / Max: 245.13Min: 243.46 / Avg: 244.56 / Max: 245.961. (CXX) g++ options: -O2 -lSHOCCommon -std=c++14 -lcudadevrt -lcudart_static -lrt -lpthread -ldl -lcufft

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyBig Sur with 8x K80Big Sur with 8x K80 1306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3131.2131.21. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyBig Sur with 8x K80Big Sur with 8x K80 120406080100Min: 131.2 / Avg: 131.2 / Max: 131.2Min: 131.2 / Avg: 131.2 / Max: 131.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadBig Sur with 8x K80Big Sur with 8x K80 1306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3145.2145.21. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadBig Sur with 8x K80Big Sur with 8x K80 1306090120150Min: 145.2 / Avg: 145.2 / Max: 145.2Min: 145.2 / Avg: 145.2 / Max: 145.21. (CC) gcc options: -O2 -flto -lOpenCL

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteBig Sur with 8x K80Big Sur with 8x K80 1306090120150SE +/- 0.28, N = 3SE +/- 0.23, N = 3142.9143.11. (CC) gcc options: -O2 -flto -lOpenCL
OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteBig Sur with 8x K80Big Sur with 8x K80 1306090120150Min: 142.6 / Avg: 142.93 / Max: 143.5Min: 142.7 / Avg: 143.13 / Max: 143.51. (CC) gcc options: -O2 -flto -lOpenCL

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 the OpenCL and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL LavaMDBig Sur with 8x K80Big Sur with 8x K80 1612182430SE +/- 0.28, N = 6SE +/- 0.24, N = 823.5623.451. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL LavaMDBig Sur with 8x K80Big Sur with 8x K80 1612182430Min: 22.33 / Avg: 23.56 / Max: 24.33Min: 22.42 / Avg: 23.45 / Max: 24.411. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL MyocyteBig Sur with 8x K80Big Sur with 8x K80 120406080100SE +/- 0.24, N = 3SE +/- 1.11, N = 388.7290.181. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL MyocyteBig Sur with 8x K80Big Sur with 8x K80 120406080100Min: 88.26 / Avg: 88.72 / Max: 89.07Min: 87.96 / Avg: 90.18 / Max: 91.411. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL HeartwallBig Sur with 8x K80Big Sur with 8x K80 1612182430SE +/- 0.19, N = 15SE +/- 0.29, N = 523.9024.241. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL HeartwallBig Sur with 8x K80Big Sur with 8x K80 1612182430Min: 22.52 / Avg: 23.9 / Max: 25.03Min: 23.16 / Avg: 24.24 / Max: 24.831. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterBig Sur with 8x K80Big Sur with 8x K80 1816243240SE +/- 0.15, N = 3SE +/- 0.11, N = 332.7931.921. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 2.4Test: OpenCL Particle FilterBig Sur with 8x K80Big Sur with 8x K80 1714212835Min: 32.49 / Avg: 32.79 / Max: 32.99Min: 31.7 / Avg: 31.92 / Max: 32.081. (CXX) g++ options: -O2 -lOpenCL

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsBig Sur with 8x K80Big Sur with 8x K80 10.02720.05440.08160.10880.136SE +/- 0.00065, N = 3SE +/- 0.00050, N = 30.120840.11977
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.13ATPase Simulation - 327,506 AtomsBig Sur with 8x K80Big Sur with 8x K80 112345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12