Performance Index
Supercomputing 23
Demos
| Demo | Claim | Claim Details |
|---|---|---|
| Demo: AI-Accelerated Molecular Dynamics | Intel Future Xeon Processor Codenamed Granite Rapids outperforms 4th Gen Intel Xeon Scalable CPUs for AI-HPC molecular dynamics workloads by up to 2.9x | Intel Future Xeon Processor Codenamed Granite Rapids: Test by Intel as of 11/06/2023. 1-node, 2S Intel Future Xeon Processor codenamed Granite Rapids, 1536 GB MCR 8800, CentOS Stream 8, gcc 8.5.0, https://github.com/deepmodeling/deepmd-kit, Tensorflow 2.9, Horovod 0.24.0, oneCCL-2021.5.2, Python 3.9, LAMMPS-23June2022 Intel® Xeon® 8480+: Test by Intel as of 10/04/2023. 1-node, 2S Intel Xeon 8480+, 512 GB DDR5-4800, CentOS Stream 8, gcc 8.5.0, https://github.com/deepmodeling/deepmd-kit, Tensorflow 2.9, Horovod 0.24.0, oneCCL-2021.5.2, Python 3.9, LAMMPS-23June2022 |
| Demo: HPC and AI Demo on Intel® Data Center GPU Max Series | 1x Intel® Data Center GPU Max 1100 provides up to 837 GB/S in Babel Stream Triad 1x Intel Data Center GPU Max 1100 performs 20 steps of Stable Diffusion 1.4 in up to 1.75 seconds 2x Intel Data Center GPU Max 1100 perform up to 105 timesteps/s in the LAMMPS Liquid Crystal Benchmark | Intel® Data Center GPU Max 1100: Test by Intel as of 11/06/2023. 1-node, 2S Intel® Xeon® 8480+, 512GB DDR5-4800, Ubuntu 22.04, 4x Intel Data Center GPU Max 1100, oneAPI 2023.2, https://github.com/UoB-HPC/BabelStream, https://github.com/lammps, https://github.com/intel/intel-extension-for-openxla |
| NewsByte | Intel and Dell published new results for STAC-A2, an independent benchmark suite based on real-world market risk analysis workloads, showing great performance for the financial industry. Compared to eight NVIDIA H100 PCIe 80GiB GPUs, four Intel® Data Center GPU Max 1550s had 43% higher space efficiency. | Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy. SUT ID: NVDA230721: CUDA® 12.0 with 8 x NVIDIA H100 PCIe 80GiB GPUs in an HPE ProLiant XL675d Gen10 Plus Server https://STACresearch.com/NVDA230721 SUT ID: INTC230927: STAC-A2 Pack for Intel® oneAPI (Rev O) with 4 x Intel® Data Center GPU Max 1550 discrete GPUs in a Dell PowerEdge XE9640 server https://STACresearch.com/INTC230927 |
| NewsByte | The Intel® Data Center GPU Max Series outperforms Nvidia H100 PCIe card by an average of 36% (1.36x) on diverse HPC workloads. | Geomean of BabelStream Triad, RINF, ISO3DFD, SpecFEM3D_Globe, American Monte Carlo, Binomial Options, Black Scholes, European Monte Carlo, RiskFuel Training, Amber, Autodock, LAMMPS, miniBUDE, NAMD, NWChemEx PWDFT, RELION, CoMLSim Inference, CoMLSim Training, Jacobi Solver, 3D-GANS for Particle Shower Simulation, BigDFT, CloverLeaf, DeepGalaxy, DPEcho, GENE, GRIDQCD, QMCPACK BabelStream Triad Intel Data Center GPU Max 1550: Testing as of 4/25/2023, 1-node 2x Intel Xeon 8360Y, HT On, Turbo On, 256 GB DDR4-3200, Ubuntu 20.04, Kernel 5.15 , ucode=0xd000375, IFWI 22WW51.5, oneAPI 2023.1, Triad array size 134217728, 100 iterations NVIDIA H100: Testing as of 4/25/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, ucode=0xd000389, driver 530.30.02, nvhpc 22.2, CUDA 12.0, Triad array size 134217728, 100 iterations RINF(SIZE=400000000, icase=39, stride=1, dyn.allocation=TRUE, avg.performance=L) Intel Data Center GPU Max 1550: Testing as of 4/25/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo On, 256 GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, Ubuntu 22.04, Kernel 5.15, ucode=0xd000375, IFWI_WW50.5, ifx (IFX) 2023.1.0 20230320 NVIDIA H100: Testing as of 4/26/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, ucode=0xd000389, driver 530.30.02, nvhpc 23.3, nvfortran 23.3-0 ISO3DFD Intel Data Center GPU Max: Testing as of 4/27/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 256GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, BIOS Version WLYDCRB1.SYS.0021.P25.2107280557, ucode = 0x8d0002e0, Ubuntu 20.04, Kernel 5.15, IFWI_WW50.5, Intel oneAPI C++ Compiler 2023.1.0 NVIDIA H100: Testing as of 4/27/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 512GB DDR4-3200, 1x NVIDIA H100 PCIe, BIOS Version SE5C6200.86B.0021.D40.2101090208, ucode = 0xd000375, Ubuntu 22.04, Kernel 5.15, CUDA Driver 525.60.13, CUDA 12.0 nvcc SpecFEM3D_Globe (global_s362ani_shakemovie) Intel Data Center GPU Max: Testing as of 10/4/2023, 1-node 2S Intel® Xeon® 8480+, HT On, Turbo Enabled, 1024 GB DDR4-4800, 1x Intel® Data Center GPU Max 1550, Agama-ci-devel.682.16, AMC 6.7, Ubuntu 22.04, Kernel 5.15, oneAPI 2023.2.0 NVIDIA H100: Testing as of 4/25/2023, 1-node 2S Intel® Xeon® 8480+, HT On, Turbo Enabled, 512 GB DDR4-4800, 1x NVIDIA H100 PCIe, Driver 530.30.02, Ubuntu 22.04, Kernel 5.15, CUDA 12 FSI Kernels (American Monte Carlo, Binomial Options, Black Scholes, European Monte Carlo) Intel Data Center GPU Max 1550: Testing as of 4/27/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo On, 256GB DDR4-3200, ucode=0xd000375, BIOS Version WLYDCRB1.SYS.0021.P16.2105280638, Ubuntu 20.04, Kernel 5.15, 1x Intel® Data Center GPU Max 1550, fw_ver: PVC2_1.22505, oneAPI 2023.1 NVIDIA H100: Testing as of 4/27/2023, 1-node 2x Intel® Xeon® Platinum 8360Y, HT On, Turbo On, 512GB DDR-3200, ucode=0xd000389, BIOS Version SE5C6200.86B.0021.D40.2101090208, Ununtu 22.04, Kernel 4.18, 1x NVIDIA H100 PCIe, Driver Version: 525.60.13, CUDA SDK 12.0 Riskfuel Credit Option Pricing Training (8 layers, width=1024, input_dims=5) Intel® Data Center GPU Max 1550: Test by Intel as of 2/8/2022. 1-node, 2x Intel® Xeon® 8480+, HT On, Turbo On, 1024 GB DDR5-4800, 1x Intel Datacenter GPU Max 1550, GPU Driver 1.3.23937, Ubuntu 20.04, Kernel 5.15; oneAPI DPC++/C++ Compiler 2023.0.0, Intel Python 3.9, intel-extension-for-pytorch 1.13.10+xpu, torch 1.13.0a0+gitb1dde16 NVIDIA H100: Test by Intel as of 2/8/2022. 1-node, 2x Intel® Xeon® 8360Y, HT On, Turbo On, 512 GB DDR4-3200, 1x NVIDIA H100 PCIe, GPU Driver 525.60.13, Ubuntu 22.04, Kernel 5.15, CUDA 12, Python 3.9, torch 2.0.0.dev20230202 Amber 20 (STMV_NVE_4fs) Intel Data Center GPU Max 1550: Testing as of 10/27/2023, 1-node, 2S Intel® Xeon® 8360Y, HT On, Turbo On, 256GB DDR4-3200, ucode=0xd0003a5, BIOS WLYDCRB1.SYS.0021.P35.2109130530, Ubuntu 22.04, Kernel 5.15, 1x Intel® Data Center GPU Max 1550, Driver 915_23.7.17_PSB_230608.24, IFWI_WW37.4, AMC_6.7, Intel OneAPI 2023.2.1, Intel MPI 2021.10.0, gcc 11.2, amber20-sycl NVIDIA H100: Testing as of 10/27/2023, 1-node, 2S Intel® Xeon® 8480+, HT On, Turbo On, 512 GB DDR5-4800, ucode=0x2b0004b1, BIOS AMI 1.4, Ubuntu 22.04, Kernel 5.15, 1x NVIDIA A100 80G PCIe, Driver 535.54.03, gcc 11.2, cuda 11.8, amber20 AutoDock (1ac8, 1stp, 3ce3, 3tmn, 7cpa) Intel Data Center GPU Max 1550: Testing as of April 2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 256GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, BIOS Version WLYDCRB1.SYS.0021.P25.2107280557, ucode 0x8d0002e0, Ubuntu 22.04, Kernel 5.15, GPU Driver 22.32.23937.16, Intel ® oneAPI DPC++/C++ Compiler 2023.1.0 (2023.x.0.20221201) NVIDIA H100: Testing as of April 2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 512GB DDR4-3200, 1x PCIe NVIDIA H100 80G, BIOS Version SE5C6200.86B.0022.D08.2103221623, ucode=0xd000389 Ubuntu 22.04, Kernel 5.15, driver 530.30.02, CUDA 12 Workload settings: ffile, lfile=Proteins 1ac8, 1stp, 3ce3, 3tmn, 7cpa from github source repository, nrun=100 (number of runs of the genetic algorithm), lsmet=ad, sw (the local-search method), autostop=0 (no autostopping), heuristics=0 (no stopping by heuristic), xmloutput=0 (no xmloutput), resnam= (location of results directory providing energy evaluations). Measured docking time LAMMPS (Copper, Liquid Crystal, Water, Tungsten): Intel Data Center GPU Max: Testing by Intel as of 10/26/2023 , 1-node, 2S Intel Xeon® 8480+, HT On, Turbo Enabled, 1024 GB DDR5-4800 , BIOS EGSDCRB1.SYS.9409.P01.2211280753, ucode = 0x2b0004b1, Ubuntu 22.04, Kernel 5.15, 1x Intel® Data Center GPU Max 1550, agama-ci-devel-712, IFWI WW26.3, AMC 6.6, oneAPI 2023.2.1, LAMMPS August 2023 Stable Release 1, Tungsten workload used pre-release SYCL optimizations NVIDIA H100: Testing by Intel as of 10/26/2023 , 1-node, 2S Intel Xeon® 8480+, HT On, Turbo Enabled, 1024 GB DDR5-4800 , BIOS AMI 1.4, ucode = 0x2b0004b1, Ubuntu 22.04, Kernel 5.15, 1x NVIDIA H100 PCIe, driver 535.54.03, CUDA 12.2, LAMMPS August 2023 Stable Release 1 miniBUDE (BM2 Long) : Intel Data Center GPU Max 1550: Testing as of 4/26/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo On, 256 GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, Ubuntu 22.04, Kernel 5.15, ucode=0xd000375, driver 22.32.23937.16, oneAPI icpx 2023.1.0 NVIDIA H100: Testing as of 4/26/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, ucode=0xd000389, driver 530.30.02, CUDA 12.0 NAMD(STMV, APOA-1, Rest2): Intel Data Center GPU Max 1550: Testing as of 4/26/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo On, 256 GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, Ubuntu 22.04, Kernel 5.15, ucode=0xd000375, driver 22.32.23937.16 NVIDIA H100: Testing as of 4/26/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 22.04, Kernel 5.15, ucode=0xd000389, driver 530.30.02, CUDA 12.0 NWChemEx PWDFT (QA/CCO-Cu_surface/cco-cu_surf.nw) Intel Data Center GPU Max 1550: Testing as of 9/28/2023, 1-node, 2S Intel® Xeon® 8480+, HT On, Turbo Enabled, 1024 GB DDR5-4800, ucode = 0x2b0004b1, Ubuntu 22.04, Kernel 5.15, 1x Intel® Data Center GPU Max 1550, agama-ci-devel-676.3, IFWI 26.3, AMC 6.6, oneAPI 2023.2.1 NVIDIA H100: Testing as of 9/28/2023, 1-node, 2S Intel® Xeon® 8480+, HT On, Turbo Enabled, 512 GB DDR5-4800, ucode = 0x2b0004b1, Ubuntu 22.04, Kernel 5.15, 1x NVIDIA H100 PCIe, Driver 535.54.03, Nvidia HPC SDK 23.3, CUDA 12.0.140 RELION (Plasmodium Ribosome 3D classification, Beta Galactosidase Refine3D): Intel® Data Center GPU Max 1550: Test by Intel as of ww35'23. 2x Intel® Xeon® 8480+, HT On, Turbo On, Total Memory 512 GB DDR5-4800, BIOS EGSDCRB1.SYS.0077.D01.2203211346, ucode=0x8f000300, Ubuntu 22.04.2 LTS, 5.15.47+prerelease23.6.22, Intel® Max Series GPU 1550, AGA_DEVEL-676.3, IFWI_WW26.3, AMC6.6, oneAPI 2023.2.1, RELION SYCL version based on 5.0-alpha NVIDIA® H100-80GB-PCIe: Test by Intel as of ww35'23. 2x Intel® Xeon® 8480+, HT On, Turbo On, Total Memory 512 GB DDR5-4800, BIOS SE5C7411.86B.9525.D26.2305160804, ucode=0x2b0004b1, Ubuntu 22.04 LTS, 5.15.0-82-generic, NVIDIA® H100-80GB-PCIe, H100 Driver version 535.54.03, CUDA® 12.2, VBIOS Version 96.00.30.00.01, GCC 12.1.0, RELION 5.0-alpha CoMlSim (Training and Inference) Intel Data Center GPU Max 1550: Test by Intel as of 04/21/2023. 1-node, Intel(R) Xeon(R) Platinum 8360Y CPU @ 2.40GHz, HT On, Turbo On, Total Memory 256 GB (16x16GB 3200MT/s, Dual-Rank), BIOS Version WLYDCRB1.SYS.0021.P25.2107280557, CoMLSim, batch-size 2560, TensorFlow 2.12.0, ITEX 1.2.0, MKL (In basekit 2023.1.0.46401), oneDNN (Branch: rls-v3.1 commit id: 08638f8c) NVIDIA H100: Test by Intel as of 04/21/2023. GPU, H100, PCI ID 20B5, Intel® Xeon® Platinum 8360Y CPU @ 2.40GHz, 36 cores, HT On, Turbo On, Total Memory 512GB (16x32GB DDR4 3200 MT/s [3200 MT/s]), SE5C6200.86B.0022.D08.2103221623, Ubuntu 20.04.1 LTS, 5.13.0-28-generic, CoMLSim, TensorFlow 2.11, NVIDIA CUDA® 12.0.1, NVIDIA cuBLAS from CUDA 12.0.1, NVIDIA cuDNN 8.7.0 Jacobi Solver: Intel Data Center GPU Max: Testing as of 4/24/2023, 1-node 1x Intel® Xeon® 8480+, HT On, Turbo Enabled, 512GB DDR5-4800, 1x Intel® Data Center GPU Max 1550, ucode = 0x8f000300, Ubuntu 20.04, Kernel 5.15, IFWI_WW50.5, driver 1.3.26002, oneAPI 2023.1.0, NVIDIA H100: Testing as of 4/24/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 256GB DDR4-3200, 1x NVIDIA H100 PCIe, ucode = 0xd000389, Ubuntu 22.04, Kernel 5.15, CUDA 12.0, CUDA Driver, 525.60.13, CUDA 12.0 3D-GAN Inference for Particle Shower Simulations Intel Data Center GPU Max 1550: Testing as of 3/31/2023, 1-node 2x Intel® Xeon® 8480+, HT On, Turbo On, 1024 GB DDR5-4800, 1x Intel® Data Center GPU Max 1550, Ubuntu 20.04, Kernel 5.15, BIOS Version EGSDCRB1.SYS.0077.D01.2203211346m, ucode=0x8f000300, agama-ci-devel-582, Intel(R) oneAPI DPC++/C++ Compiler 2023.1.0 (2023.1.0.20230302), Python 3.9.15, TensorFlow 2.11, Intel MPI 2021.9, NVIDIA H100: Testing as of 3/31/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, BIOS Version SE5C6200.86B.0021.D40.2102090208, ucode=0xd000389, GPU Driver 530.30.02, GNU Fortran (GCC) 9.4.0 g++ (GCC) 9.4.0, CUDA 12.1, Docker: nvidia/tensorflow:23.01-tf2-py3 (23.01 version for TF2.11) BigDFT: (https://gitlab.com/max-centre/benchmarks/-/tree/master/BigDFT/H2O/GPU) Intel Data Center GPU Max 1550: Testing as of 4/18/2023, 2x Intel® Xeon® 8480+, HT On, Turbo On, 1024 GB DDR5-4800, 1x Intel® Data Center GPU Max 1550 limited to 450W TDP, Ubuntu 20.04, Kernel 5.15, oneAPI 2023.1+intel-comp-rt/agama-ci-devel/543 NVIDIA H100: Testing as of 4/18/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, GPU Driver 525.60.13, oneAPI 2023.1+Cuda 12.0 CloverLeaf Intel Data Center GPU Max 1550: Testing as of 4/23/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo On, 256 GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, Ubuntu 20.04, Kernel 5.15, ucode=0xd000375, Agama-devel-543, intel/oneapi/2023.1.0 NVIDIA H100: Testing as of 4/25/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, ucode=0xd000389, driver 530.30.02, nvhpc 22.2, CUDA 12.0 DeepGalaxy Intel Data Center GPU Max 1550: Testing as of 4/14/2023, 1-node 2x Intel® Xeon® 8480+, HT On, Turbo On, 1024 GB DDR5-4800, 1x Intel® Data Center GPU Max 1550, Ubuntu 20.04, Kernel 5.15, ucode=0x8f000300, TensorFlow 2.12, Intel Python 3.9.16, Intel MPI 2021.9 oneAPI 2023.1.0.46401 NVIDIA H100: Testing as of 4/14/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, ucode=0xd000389, CUDA 12.1, Docker: nvidia/tensorflow:23.01-tf2-py3 (23.01 version for TF2.11) DPEcho: Testing as of 1/31/2023 Intel Platform 1: 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 256GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, BIOS Version WLYDCRB1.SYS.0021.P25.2107280557, Ubuntu 20.04, Kernel 5.15, oneAPI icpx Nightly 20230109 Testing as of 1/18/2023 Competing Platform 2: 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 128GB DDR4-3200, 1x PCIe NVIDIA H100, BIOS Version SE5C6200.86B.0022.D08.2103221623, Ubuntu 20.04, Kernel 5.15, GPU Driver 525.60.13, Intel LLVM 20230109, CUDA 12.0 Workload settings: Ran Alfvén wave for Grid sizes: 36³, 48³, 72³, 96³, 132³, 192³, 264³, 390³, 516³ cells. DPEcho GitHub: https://github.com/LRZ-BADW/DPEcho GENE: Intel Data Center GPU Max 1550: Testing as of 4/21/2023, 1-node 2x Intel® Xeon® 8480+, HT On, Turbo On, 1024 GB DDR5-4800, 1x Intel® Data Center GPU Max 1550, Ubuntu 20.04, Kernel 5.15, GPU Driver Agama-devel-573, IFWI_WW51.5, ifort (IFORT) 2021.9.0 2023010 Intel(R) oneAPI DPC++/C++ Compiler 2023.1.0 (2023.x.0.20230309) NVIDIA H100: Testing as of 4/21/2023, 1-node 2x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 512 GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, GPU Driver 525.60.13, GNU Fortran (GCC) 9.4.0 g++ (GCC) 9.4.0 GridQCD (Benchmark_dwf_fp32 - picked gird size per GPU for the highest TF throughput): Intel Data Center GPU Max: Testing as of 4/27/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 256GB DDR4-3200, 1x Intel® Data Center GPU Max 1550, BIOS Version WLYDCRB1.SYS.0021.P16.2105280638, ucode = 0xd000375, Ubuntu 20.04, Kernel 5.15, Intel OneAPI C++ compiler (20230426), NEO UMD 026093, Grid Size 16x16x16x16 for 1T, 32x32x32x32 for 2T. NVIDIA H100: Testing as of 4/27/2023, 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, 512GB DDR4-3200, 1x NVIDIA H100 PCIe, BIOS Version SE5C6200.86B.0021.D40.2101090208, ucode = 0xd000389, Ubuntu 22.04, Kernel 5.15, CUDA 12, Grid Size 16x16x16x32 QMCPack: Testing as of 2/1/2023 Intel Platform: 1-node, 2x Intel® Xeon® Max 9480, HT On, Turbo On, Total Memory 1024 GB DDR5-4800 + 128 GB HBM2e, 6x Intel® Data Center GPU Max Series, SUSE Linux Enterprise Server 15 SP3, Kernel 5.3.18, nightly build software stack Competing Platform: 1-node 1x Intel® Xeon® 8360Y, HT On, Turbo Enabled, total memory 128GB DDR4-3200, 1x PCIe NVIDIA H100, Ubuntu 20.04, Kernel 5.15, GPU Driver 525.60.13, CUDA 12.0 Workload settings: NiO workload, 512 atoms NiO bulk, Nel = 6144 |
| NewsByte | Intel® Xeon® CPU Max Series, the only x86 processor with high bandwidth memory, delivered an average of 19% more performance compared to the AMD Epyc Genoa processor. | Geomean of MPAS-A, ISO3DFD, Black Scholes, LAMMPS, and OpenFOAM MPAS-A (60-km dynamical core) Intel® Xeon® Max 9480: Test by Intel as of 10/12/22. 1-node, 2x Intel® Xeon® Max 9480, HT On, Turbo On, SNC4, 128 GB HBM2e, BIOS Version SE5C7411.86B.8424.D03.2208100444, ucode revision=0x2c000020, CentOS Stream 8, Kernel 5.19, MPAS-A V7.3 AMD EPYC 9654: Test by Intel as of 03/27/23. 1-node, 2x AMD EPYC 9654, HT On, Turbo On, CTDP=360W, NPS=4, 1536GB DDR5-4800, BIOS 1.2, microcode 0xa101111, Red Hat Enterprise Linux 8.7, Kernel 4.18 , MPAS-A V7.3 ISO3DFD Intel® Xeon® Max 9480: Test by Intel as of 9/2/2022. 1-node, 2x Intel® Xeon® Max 9480, HT On, Turbo On, SNC4, 128 GB HBM2e, BIOS Version SE5C7411.86B.8424.D03.2208100444, ucode revision=0x2c000020, CentOS Stream 8, Kernel 5.19, YASK v3.05.07 AMD EPYC 9654: Test by Intel as of 03/27/23. 1-node, 2x AMD EPYC 9654, HT On, Turbo On, CTDP=360W, NPS=4, 1536GB DDR5-4800, BIOS 1.2, microcode 0xa101111, Red Hat Enterprise Linux 8.7, Kernel 4.18, YASK v3.05.07 Black Scholes Intel® Xeon® Max 9480: Test by Intel as of 9/2/2022. 1-node, 2x Intel® Xeon® Max 9480,HT On, Turbo On, SNC4, 128 GB HBM2e, BIOS Version SE5C7411.86B.8424.D03.2208100444, ucode revision=0x2c000020, CentOS Stream 8, Kernel 5.19 AMD EPYC 9654: Test by Intel as of 03/27/23. 1-node, 2x AMD EPYC 9654, HT On, Turbo On, CTDP=360W, NPS=4, 1536GB DDR5-4800, BIOS 1.2, microcode 0xa101111, Red Hat Enterprise Linux 8.7, Kernel 4.18 LAMMPS (Atomic Fluid, Copper, DPD, Liquid_crystal, Polyethylene, Protein, Stillinger-Weber, Tersoff, Water) Intel® Xeon® Max 9480: Test by Intel as of 9/29/2022. 1-node, 2x Intel® Xeon® Max 9480, HT ON, Turbo ON, NUMA configuration SNC4, 128 GB HBM2e, BIOS Version SE5C7411.86B.8424.D03.2208100444, ucode revision=0x2c000020, CentOS Stream 8, Kernel 5.19 AMD EPYC 9654: Test by Intel as of 03/27/23. 1-node, 2x AMD EPYC 9654, HT On, Turbo On, CTDP=360W, NPS=4, 1536GB DDR5-4800, BIOS 1.2, microcode 0xa101111, Red Hat Enterprise Linux 8.7, Kernel 4.18 OpenFOAM (Motorbike 20M, Motorbike 42M) Intel® Xeon® Max 9480: Test by Intel as of 9/2/2022. 1-node, 2x Intel® Xeon® Max 9480, HT On, Turbo On, SNC4, 128 GB HBM2e, BIOS Version SE5C7411.86B.8424.D03.2208100444, ucode revision=0x2c000020, CentOS Stream 8, Kernel 5.19, OpenFOAM 8 AMD EPYC 9654: Test by Intel as of 03/27/23. 1-node, 2x AMD EPYC 9654, HT On, Turbo On, CTDP=360W, NPS=4, 1536GB DDR5-4800, BIOS 1.2, microcode 0xa101111, Red Hat Enterprise Linux 8.7, Kernel 4.18, OpenFOAM 8 This offering is not approved or endorsed by OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trademark |
| NewsByte | 5th Gen Intel® Xeon® processors will deliver up to 1.4x higher performance gen-over-gen on HPC applications as demonstrated by LAMMPS-Copper. | LAMMPS (Copper) : Application version: LAMMPS v2021-09-29, compiler: Intel ICC 2021.6.0, runtime environment: Intel ICC 2021.6.0, Intel MPI 2021.6.0, Intel MKL 2022.1.0 8480+: 1-node, 2x 4th Gen Intel Xeon Platinum 8480+ processor (Sapphire Rapids), 60 cores, 350W TDP; HT On, Turbo On, Total Memory 512GB (8x32GB DDR5 4800MT/s), BIOS: EGSDCRB1.86B.0102.D37.2305081415, microcode 0xab0001a0, OS: CentOS Stream 8, Kernel: 5.15.0-spr.bkc; Drive: Intel SSD 1TB; Workload: FMB2.0 24 use cases (x264, x265, SVT-HEVC, SVT-AV1); Test by Intel - June 2023 |