Xeon E-2278GEL

Intel Xeon E-2278GEL testing with a Logic Supply RXM-181 (Z01-0001A027 BIOS) and Intel HD 3GB on Ubuntu 19.10 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 1910210-HU-XEONE227887
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Xeon E-2278GEL
October 20 2019
  6 Hours, 56 Minutes
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Xeon E-2278GELOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon E-2278GEL @ 3.90GHz (8 Cores / 16 Threads)Logic Supply RXM-181 (Z01-0001A027 BIOS)Intel Cannon Lake PCH16384MB512GB TS512GMTE510T + 64GB Flash DriveIntel HD 3GB (1150MHz)Realtek ALC233G237HLIntel I219-LM + 2 x Intel I210Ubuntu 19.105.3.0-18-generic (x86_64)GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.1GCC 9.2.1 20191008ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionXeon E-2278GEL BenchmarksSystem Logs- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --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 - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave- OpenJDK Runtime Environment (build 11.0.5-ea+10-post-Ubuntu-0ubuntu1)- 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 Enhanced IBRS IBPB: conditional RSB filling

Xeon E-2278GELior: Write Testior: Read Testminife: Smallmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: IP Batch 1D - u8s8f32mkl-dnn: IP Batch All - u8s8f32mkl-dnn: Convolution Batch conv_3d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Convolution Batch conv_all - u8s8f32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Convolution Batch conv_alexnet - u8s8f32mkl-dnn: Convolution Batch conv_googlenet_v3 - f32mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32ospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - Path Tracerembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objmt-dgemm: Sustained Floating-Point Rateoidn: Memorialaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcassandra: Readscassandra: Writescassandra: Mixed 1:1cassandra: Mixed 1:3rocksdb: Rand Fillrocksdb: Rand Readrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While WritingXeon E-2278GEL651.63494.702534.627.9151.8451.44330.3339.514575.6416609.778.797.78552.0956768.305106.296855.0212970.87421.554404.38253.862790.1710.211.670.8612.530.919.872.55141.376.797.587.917.058.887.642.555.12640.68980.99645.01980.53683.901121.871495490668269275648396331243434104806196301521687OpenBenchmarking.org

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestXeon E-2278GEL140280420560700SE +/- 7.45, N = 3651.63MIN: 44.97 / MAX: 831.071. (CC) gcc options: -O2 -lm -pthread -lmpi

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestXeon E-2278GEL110220330440550SE +/- 3.15, N = 3494.70MIN: 399.46 / MAX: 560.511. (CC) gcc options: -O2 -lm -pthread -lmpi

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallXeon E-2278GEL5001000150020002500SE +/- 0.13, N = 32534.621. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

MKL-DNN DNNL

This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: f32Xeon E-2278GEL246810SE +/- 0.08, N = 127.91MIN: 6.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: f32Xeon E-2278GEL1224364860SE +/- 0.04, N = 351.84MIN: 51.051. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch 1D - Data Type: u8s8f32Xeon E-2278GEL1224364860SE +/- 0.17, N = 351.44MIN: 49.871. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: IP Batch All - Data Type: u8s8f32Xeon E-2278GEL70140210280350SE +/- 2.99, N = 3330.33MIN: 317.381. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: f32Xeon E-2278GEL918273645SE +/- 0.49, N = 539.51MIN: 36.691. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: f32Xeon E-2278GEL10002000300040005000SE +/- 3.08, N = 34575.64MIN: 4314.811. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_3d - Data Type: u8s8f32Xeon E-2278GEL4K8K12K16K20KSE +/- 74.35, N = 316609.77MIN: 16421.21. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: f32Xeon E-2278GEL246810SE +/- 0.13, N = 48.79MIN: 7.631. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: f32Xeon E-2278GEL246810SE +/- 0.01, N = 37.78MIN: 7.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: f32Xeon E-2278GEL120240360480600SE +/- 5.26, N = 12552.09MIN: 446.631. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_all - Data Type: u8s8f32Xeon E-2278GEL12K24K36K48K60KSE +/- 68.71, N = 356768.30MIN: 55860.51. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_all - Data Type: f32Xeon E-2278GEL11002200330044005500SE +/- 6.21, N = 35106.29MIN: 4971.731. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32Xeon E-2278GEL15003000450060007500SE +/- 81.62, N = 36855.02MIN: 6599.121. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32Xeon E-2278GEL3K6K9K12K15KSE +/- 2.03, N = 312970.87MIN: 12923.51. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Recurrent Neural Network Training - Data Type: f32Xeon E-2278GEL90180270360450SE +/- 0.53, N = 3421.55MIN: 401.831. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32Xeon E-2278GEL9001800270036004500SE +/- 49.29, N = 34404.38MIN: 4263.241. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32Xeon E-2278GEL60120180240300SE +/- 3.01, N = 6253.86MIN: 228.291. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN DNNL 1.1Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32Xeon E-2278GEL6001200180024003000SE +/- 37.16, N = 52790.17MIN: 2547.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -ldl

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisXeon E-2278GEL3691215SE +/- 0.21, N = 1510.21MIN: 9.26 / MAX: 13.33

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisXeon E-2278GEL0.37580.75161.12741.50321.879SE +/- 0.00, N = 31.67MIN: 1.65 / MAX: 2.21

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerXeon E-2278GEL0.19350.3870.58050.7740.9675SE +/- 0.00, N = 30.86MIN: 0.81 / MAX: 0.98

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisXeon E-2278GEL3691215SE +/- 0.26, N = 1412.53MIN: 11.63 / MAX: 16.39

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerXeon E-2278GEL0.20480.40960.61440.81921.024SE +/- 0.00, N = 50.91MIN: 0.9

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisXeon E-2278GEL3691215SE +/- 0.03, N = 39.87MIN: 9.52 / MAX: 11.24

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerXeon E-2278GEL0.57381.14761.72142.29522.869SE +/- 0.00, N = 42.55MIN: 2.49 / MAX: 3.4

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerXeon E-2278GEL306090120150SE +/- 1.49, N = 12141.37MIN: 111.11 / MAX: 166.67

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: CrownXeon E-2278GEL246810SE +/- 0.08, N = 36.79MIN: 6.55 / MAX: 8.2

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: CrownXeon E-2278GEL246810SE +/- 0.04, N = 37.58MIN: 7.37 / MAX: 9.07

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian DragonXeon E-2278GEL246810SE +/- 0.03, N = 37.91MIN: 7.73 / MAX: 8.84

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer - Model: Asian Dragon ObjXeon E-2278GEL246810SE +/- 0.01, N = 37.05MIN: 6.86 / MAX: 7.79

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian DragonXeon E-2278GEL246810SE +/- 0.03, N = 38.88MIN: 8.72 / MAX: 9.7

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.6.1Binary: Pathtracer ISPC - Model: Asian Dragon ObjXeon E-2278GEL246810SE +/- 0.01, N = 37.64MIN: 7.46 / MAX: 8.26

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateXeon E-2278GEL0.57381.14761.72142.29522.869SE +/- 0.01, N = 32.551. (CC) gcc options: -O3 -march=native -fopenmp

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.0.0Scene: MemorialXeon E-2278GEL1.1522.3043.4564.6085.76SE +/- 0.07, N = 45.12

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - GriddingXeon E-2278GEL140280420560700SE +/- 0.13, N = 3640.681. (CXX) g++ options: -lpthread

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MT - DegriddingXeon E-2278GEL2004006008001000SE +/- 0.66, N = 3980.991. (CXX) g++ options: -lpthread

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - GriddingXeon E-2278GEL140280420560700SE +/- 0.13, N = 3645.011. (CXX) g++ options: -lpthread

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingXeon E-2278GEL2004006008001000SE +/- 0.15, N = 3980.531. (CXX) g++ options: -lpthread

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - GriddingXeon E-2278GEL150300450600750SE +/- 3.11, N = 3683.901. (CXX) g++ options: -lpthread

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve OpenMP - DegriddingXeon E-2278GEL2004006008001000SE +/- 1.57, N = 31121.871. (CXX) g++ options: -lpthread

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: ReadsXeon E-2278GEL30060090012001500SE +/- 485.50, N = 71495

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesXeon E-2278GEL11K22K33K44K55KSE +/- 560.62, N = 349066

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:1Xeon E-2278GEL2K4K6K8K10KSE +/- 1093.60, N = 98269

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: Mixed 1:3Xeon E-2278GEL6001200180024003000SE +/- 636.62, N = 92756

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillXeon E-2278GEL100K200K300K400K500KSE +/- 12423.94, N = 124839631. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadXeon E-2278GEL7M14M21M28M35MSE +/- 519521.07, N = 3312434341. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillXeon E-2278GEL200K400K600K800K1000KSE +/- 23602.27, N = 1510480611. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncXeon E-2278GEL2K4K6K8K10KSE +/- 111.54, N = 1596301. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingXeon E-2278GEL300K600K900K1200K1500KSE +/- 9688.78, N = 315216871. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

52 Results Shown

IOR:
  Write Test
  Read Test
miniFE
MKL-DNN DNNL:
  IP Batch 1D - f32
  IP Batch All - f32
  IP Batch 1D - u8s8f32
  IP Batch All - u8s8f32
  Convolution Batch conv_3d - f32
  Convolution Batch conv_all - f32
  Convolution Batch conv_3d - u8s8f32
  Deconvolution Batch deconv_1d - f32
  Deconvolution Batch deconv_3d - f32
  Convolution Batch conv_alexnet - f32
  Convolution Batch conv_all - u8s8f32
  Deconvolution Batch deconv_all - f32
  Deconvolution Batch deconv_1d - u8s8f32
  Deconvolution Batch deconv_3d - u8s8f32
  Recurrent Neural Network Training - f32
  Convolution Batch conv_alexnet - u8s8f32
  Convolution Batch conv_googlenet_v3 - f32
  Convolution Batch conv_googlenet_v3 - u8s8f32
OSPray:
  San Miguel - SciVis
  XFrog Forest - SciVis
  San Miguel - Path Tracer
  NASA Streamlines - SciVis
  XFrog Forest - Path Tracer
  Magnetic Reconnection - SciVis
  NASA Streamlines - Path Tracer
  Magnetic Reconnection - Path Tracer
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
ACES DGEMM
Intel Open Image Denoise
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
Apache Cassandra:
  Reads
  Writes
  Mixed 1:1
  Mixed 1:3
Facebook RocksDB:
  Rand Fill
  Rand Read
  Seq Fill
  Rand Fill Sync
  Read While Writing