Abstract
While the scientific community traditionally relies on various computational metrics to assess the performance of HPC systems –such as the TOP500 list (based on HPL performance), HPCG, Graph500, IO500– these metrics do not capture how HPC contributes to social progress. We propose a novel approach to follow how the growth of HPC systems and the advances of HPC research address concrete social challenges. The uniqueness of these new metrics lies in their ability to not only measure the capabilities of HPC architectures but also to gauge the concrete social advancements achieved through their use: it focuses on the output of the computation instead of its input. Contrarily to current measure, it also promotes the diversity of machines by evaluating the Pareto front created between size and result. We emphasize the need for dynamic, community-driven metrics that can evolve with emerging social needs.
| Original language | English |
|---|---|
| Journal | International Journal of High Performance Computing Applications |
| DOIs | |
| State | Accepted/In press - 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Part of this work has been supported by the Exa-DoST project (PEPR NumPEx), reference ANR-22-EXNU-0004. Part of this research was supported by the Cancer Research Informatics Shared Resource(s) of the University of Kentucky Markey Cancer Center (P30CA177558).
| Funders | Funder number |
|---|---|
| ANR-22-EXNU-0004 | |
| Cancer Research Informatics Shared Resource Facility | |
| University of Kentucky Markey Cancer Center | P30CA177558 |
| University of Kentucky Markey Cancer Center |
Keywords
- HPC
- scalability
- social impact
- top500
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Hardware and Architecture