Argonne is spearheading an international collaboration to advance the project, including Intel; HPE; Department of Energy laboratories; U.S. and international universities; nonprofits; and international partners, such as RIKEN.
Additionally, Intel and Argonne National Laboratory highlighted installation progress, system specs and early performance results for Aurora:
- Intel has completed the physical delivery of more than 10,000 blades for the Aurora supercomputer.
- Aurora’s full system, built using HPE Cray EX supercomputers, will have 63,744 GPUs and 21,248 CPUs and 1,024 DAOS storage nodes. And it will utilize the HPE Slingshot high-performance Ethernet network.
- Early results show leading performance on real-world science and engineering workloads, with up to 2x performance over AMD MI250 GPUs, 20% improvement over H100 on the QMCPACK quantum mechanical application, and near linear scaling up to hundreds of nodes.2
Aurora is expected to offer more than 2 exaflops of peak double-precision compute performance when launched this year.
Productive, Open Accelerated Computing Through oneAPI
Worldwide, about 90% of all developers benefit from or use software developed for or optimized by Intel.6 Since the oneAPI programming model launched in 2020, developers have demonstrated oneAPI on diverse CPU, GPU, FPGA and AI silicon from multiple hardware providers, addressing the challenges of single-vendor accelerated programming models. The latest Intel oneAPI tools deliver speedups for HPC applications with OpenMP GPU offload, extend support for OpenMP and Fortran, and accelerate AI and deep learning through optimized frameworks, including TensorFlow and PyTorch, and AI tools, enabling orders of magnitude performance improvements.
oneAPI makes multiarchitecture programming easier for programmers through oneAPI’s SYCL implementation, oneAPI plug-ins for Nvidia and AMD processors developed by Codeplay, and the Intel® DPC++ Compatibility Tool (based on open source SYCLomatic) that migrates code from CUDA to SYCL and C++ where 90-95% of code typically migrates automatically.7 The resulting SYCL code shows comparable performance with the same code running on Nvidia- and AMD-native systems languages. Data shows SYCL code for the DPEcho astrophysics application running on the Max Series GPU outperforms the same CUDA code on Nvidia H100 by 48%.1
The broader ecosystem is embracing SYCL, as well. Eviden, an Atos business, announced CEPP one+ with Intel, an HPC/AI Code modernization service based on Eviden’s Center of Excellence in Performance Programming (CEPP). CEPP one+ will focus on the adoption of SYCL and OpenMP, preparing the community for a heterogeneous computing landscape while providing freedom of choice in hardware through open standards.
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. To learn more about Intel’s innovations, go to newsroom.intel.com and intel.com.
Disclaimers and configuration:
1 Visit the International Supercomputing Conference (ISC’23) page on intel.com/performanceindex for workloads and configurations. Results may vary.
2 Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
3 Hyperion Research HPC Market Update, Nov. 2022.
4 Intel® Xeon® 8480+ has 1.5x higher geomean HPC performance across 27 benchmarks and applications than AMD EPYC 7763. Results may vary.
5 The Intel Developer Cloud beta is currently available to select prequalified customers.
6 According to Intel estimates.
7 Intel estimates as of March 2023. Based on measurements on a set of 85 HPC benchmarks and samples, with examples like Rodinia, SHOC, PENNANT. Results may vary.
Performance varies by use, configuration and other factors. Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. No product or component can be absolutely secure.
Your costs and results may vary.
Intel technologies may require enabled hardware, software or service activation.
Statements in this document that refer to future plans or expectations are forward-looking statements. These statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in such statements. For more information on the factors that could cause actual results to differ materially, see our most recent earnings release and SEC filings at www.intc.com.
© Intel Corporation. Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.
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Contact:
Bats Jafferji
1-603-809-5145
bats.jafferji@intel.com
