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arXiv · 2510.12166

Comparing Cross-Platform Performance via Node-to-Node Scaling Studies

Kenneth Weiss·Thomas M. Stitt·Daryl Hawkins·Olga Pearce·Stephanie Brink·Robert N. Rieben
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Abstract

Due to the increasing diversity of high-performance computing architectures, researchers and practitioners are increasingly interested in comparing a code's performance and scalability across different platforms. However, there is a lack of available guidance on how to actually set up and analyze such cross-platform studies. In this paper, we contend that the natural base unit of computing for such studies is a single compute node on each platform and offer guidance in setting up, running, and analyzing node-to-node scaling studies. We propose templates for presenting scaling results of these studies and provide several case studies highlighting the benefits of this approach.

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Kenneth Weiss, Thomas M. Stitt, Daryl Hawkins, Olga Pearce, Stephanie Brink, Robert N. Rieben. 2025-10-14. Comparing Cross-Platform Performance via Node-to-Node Scaling Studies. https://doi.org/10.1177/10943420251381191

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