Cascade MKL DNN

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED Family on Ubuntu 18.04 via the Phoronix Test Suite.

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  Duration
skylake-avx512
April 17 2019
  2 Hours, 19 Minutes
cascadelake
April 17 2019
  1 Hour, 55 Minutes
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  2 Hours, 7 Minutes
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Cascade MKL DNNOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers386048MBSamsung SSD 970 PRO 512GBASPEED FamilyVE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 18.045.1.0-999-generic (x86_64) 20190416GNOME Shell 3.28.3X Server 1.20.1modesetting 1.20.1GCC 9.0.1 20190414ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionCascade MKL DNN BenchmarksSystem Logs- cascadelake: CXXFLAGS=-O3-march=cascadelake CFLAGS=-O3-march=cascadelake- skylake-avx512: CXXFLAGS=-O3-march=skylake-avx512 CFLAGS=-O3-march=skylake-avx512- --disable-multilib --enable-checking=release- Scaling Governor: intel_pstate powersave- __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

cascadelake vs. skylake-avx512 ComparisonPhoronix Test SuiteBaseline+3.6%+3.6%+7.2%+7.2%+10.8%+10.8%C.B.c - f3214.2%D.B.d - f329.7%D.B.d - f327.8%C.B.c - f326.1%MKL-DNNMKL-DNNMKL-DNNMKL-DNNcascadelakeskylake-avx512

Cascade MKL DNNmkl-dnn: Convolution Batch conv_alexnet - u8s8u8s32mkl-dnn: Convolution Batch conv_all - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_1d - u8s8u8s32mkl-dnn: Deconvolution Batch deconv_all - f32mkl-dnn: Convolution Batch conv_3d - u8s8u8s32mkl-dnn: Convolution Batch conv_alexnet - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Convolution Batch conv_all - f32mkl-dnn: Convolution Batch conv_3d - f32cascadelakeskylake-avx51255.113911.328264.4552.162.321.243904.3756.083891.318364.4855.352.501.363934.99OpenBenchmarking.org

MKL-DNN

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32skylake-avx512cascadelake1326395265SE +/- 1.06, N = 13SE +/- 0.79, N = 1556.0855.11MIN: 48.29-march=cascadelake - MIN: 48.131. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: u8s8u8s32skylake-avx512cascadelake80160240320400SE +/- 0.28, N = 3SE +/- 1.39, N = 3389391MIN: 382.25-march=cascadelake - MIN: 382.281. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32skylake-avx512cascadelake0.2970.5940.8911.1881.485SE +/- 0.04, N = 15SE +/- 0.04, N = 151.311.32MIN: 1.02-march=cascadelake - MIN: 0.991. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_all - Data Type: f32skylake-avx512cascadelake2004006008001000SE +/- 8.63, N = 8SE +/- 1.54, N = 3836826MIN: 810.11-march=cascadelake - MIN: 812.241. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32skylake-avx512cascadelake1.0082.0163.0244.0325.04SE +/- 0.07, N = 15SE +/- 0.07, N = 154.484.45MIN: 3.62-march=cascadelake - MIN: 3.781. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32skylake-avx512cascadelake1224364860SE +/- 0.97, N = 12SE +/- 0.51, N = 355.3552.16MIN: 48.37-march=cascadelake - MIN: 48.311. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_3d - Data Type: f32skylake-avx512cascadelake0.56251.1251.68752.252.8125SE +/- 0.12, N = 12SE +/- 0.14, N = 152.502.32MIN: 1.13-march=cascadelake - MIN: 1.121. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Deconvolution Batch deconv_1d - Data Type: f32skylake-avx512cascadelake0.3060.6120.9181.2241.53SE +/- 0.05, N = 15SE +/- 0.03, N = 151.361.24MIN: 1.03-march=cascadelake - MIN: 11. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_all - Data Type: f32skylake-avx512cascadelake90180270360450SE +/- 2.13, N = 3SE +/- 0.65, N = 3393390MIN: 382.18-march=cascadelake - MIN: 382.161. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl

OpenBenchmarking.orgms, Fewer Is BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_3d - Data Type: f32skylake-avx512cascadelake1.12282.24563.36844.49125.614SE +/- 0.06, N = 3SE +/- 0.08, N = 154.994.37MIN: 4.22-march=cascadelake - MIN: 3.741. (CXX) g++ options: -O3 -std=c++11 -march=native -mtune=native -fPIC -fopenmp -pie -lmklml_intel -ldl