Application-Driven Exascale: The JUPITER Benchmark Suite

Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov
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Abstract

Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark suites, to guarantee high usability and widespread adoption of a new system. Given the significant investments in leadership-class supercomputers of the exascale era, this is even more important and necessitates alignment with a vision of Open Science and reproducibility. In this work, we present the JUPITER Benchmark Suite, which incorporates 16 applications from various domains. It was designed for and used in the procurement of JUPITER, the first European exascale supercomputer. We identify requirements and challenges and outline the project and software infrastructure setup. We provide descriptions and scalability studies of selected applications and a set of key takeaways. The JUPITER Benchmark Suite is released as open source software with this work at https://github.com/FZJ-JSC/jubench.
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应用驱动的超大规模:JUPITER 基准套件
基准测试对现代高性能计算设备的设计至关重要,因为它们定义了系统组件的关键方面。除了合成工作负载,将代表用户需求的真实应用纳入基准测试套件也至关重要,这样才能保证新系统的高可用性和广泛采用。鉴于在超大规模时代对领先级超级计算机的大量投资,这一点显得更加重要,而且必须与开放科学和可重复性的愿景保持一致。在这项工作中,我们提出了JUPITER基准套件,其中包含来自不同领域的16个应用。该套件专为欧洲首台超大规模超级计算机 JUPITER 的采购而设计,并在采购过程中使用。我们确定了需求和挑战,并概述了项目和软件基础设施的设置。我们对选定的应用进行了描述和可扩展性研究,并提出了一系列主要启示。JUPITER 基准套件作为开源软件与本作品一起发布,网址为 https://github.com/FZJ-JSC/jubench。
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