主流vs.新兴HPC:度量、权衡和经验教训

M. Radulovic, Kazi Asifuzzaman, D. Zivanovic, Nikola Rajovic, G. C. D. Verdière, D. Pleiter, M. Marazakis, Nikolaos D. Kallimanis, P. Carpenter, Petar Radojkovic, E. Ayguadé
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引用次数: 3

摘要

市场上各种不同特性和架构的服务器层出不穷,它们在高性能计算特性方面的评估和比较是复杂和多维的。在本文中,我们分享了我们评估多种HPC系统的经验,包括三种主流架构和五种新兴架构。我们使用著名的HPC基准,高性能Linpack (HPL)和高性能共轭梯度(HPCG)来评估性能和功率效率,并使用公开可用的专门内核基准来扩展我们的分析,针对特定的系统组件。除了大量的定量结果外,我们还强调了HPC平台评估中通常被忽视的六个方面,并分享了我们的结论和经验教训。总的来说,我们相信本文将改进高性能计算平台的评估和比较,朝着更可靠和统一的方法迈出第一步。
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Mainstream vs. Emerging HPC: Metrics, Trade-Offs and Lessons Learned
Various servers with different characteristics and architectures are hitting the market, and their evaluation and comparison in terms of HPC features is complex and multidimensional. In this paper, we share our experience of evaluating a diverse set of HPC systems, consisting of three mainstream and five emerging architectures. We evaluate the performance and power efficiency using prominent HPC benchmarks, High-Performance Linpack (HPL) and High Performance Conjugate Gradients (HPCG), and expand our analysis using publicly available specialized kernel benchmarks, targeting specific system components. In addition to a large body of quantitative results, we emphasize six usually overlooked aspects of the HPC platforms evaluation, and share our conclusions and lessons learned. Overall, we believe that this paper will improve the evaluation and comparison of HPC platforms, making a first step towards a more reliable and uniform methodology.
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