面向全球系统科学应用的高性能计算处理器基准评估

D. Kaliszan, N. Meyer, S. Petruczynik, M. Gienger, Sergiy Gogolenko
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引用次数: 4

摘要

本文中的工作是在全球系统科学卓越中心(CoeGSS)完成的,这是一个由欧盟委员会资助的跨学科项目。CoeGSS项目在面对全球挑战(例如能源、水和食品供应系统的发展、城市化进程和城市增长、流行病控制等)时提供计算机辅助决策支持,并试图将高性能计算和全球系统科学结合起来。本文提出了一种基于GSS应用的高性能计算系统(HPC)基准测试方法,该方法评估了GSS应用中的高性能计算系统架构,并为典型的GSS软件环境寻找最佳的高性能计算系统。分析的结果是定义一个基准,它代表了平均的GSS环境和它的挑战在一个好的方式:吸烟习惯的传播和烟草业的发展,绿色汽车市场的发展和全球城市化进程。在许多最近出现的HPC平台上运行的测试结果允许使用执行时间、TDPs3和TCOs4作为HPC架构排名的基本指标,比较不同应用程序的处理器架构。最后,我们相信我们对结果的分析为广大GSS受众提供了有价值的信息,这可能有助于确定其特定应用程序的硬件需求,也有助于HPC社区需要一个反映GSS应用程序需求和特征的成熟基准集。我们的工作可以看作是朝着这样一个成熟标杆的发展方向迈出的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HPC Processors Benchmarking Assessment for Global System Science Applications
The work undertaken in this paper was done in the Centre of Excellence for Global Systems Science (CoeGSS) – an interdisciplinary project funded by the European Commission. CoeGSS project provides a computer-aided decision support in the face of global challenges (e.g. development of energy, water and food supply systems, urbanisation processes and growth of the cities, pandemic control, etc.) and tries to bring together HPC and global systems science. This paper presents a proposition of GSS benchmark which evaluates HPC architectures with respect to GSS applications and seeks for the best HPC system for typical GSS software environments. The outcome of the analysis is defining a benchmark which represents the average GSS environment and its challenges in a good way: spread of smoking habits and development of tobacco industry, development of green cars market and global urbanisation processes. Results of the tests that have been run on a number of recently appeared HPC platforms allow comparing processors’ architectures with respect to different applications using execution times, TDPs3 and TCOs4 as the basic metrics for ranking HPC architectures. Finally, we believe that our analysis of the results conveys a valuable information to the broadened GSS audience which might help to determine the hardware demands for their specific applications, as well as to the HPC community which requires a mature benchmark set reflecting requirements and traits of the GSS applications. Our work can be considered as a step into direction of development of such mature benchmark.
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