Experiences of running an HPC RISC-V testbed
Nick Brown, Maurice Jamieson, Joseph K. L. Lee

TL;DR
This paper reports on the setup, experiences, and lessons learned from establishing a RISC-V testbed for high-performance computing, aiming to assess RISC-V's suitability for scientific workloads.
Contribution
It provides the first detailed account of deploying a RISC-V HPC testbed, highlighting practical challenges and insights for future RISC-V HPC development.
Findings
Identified key challenges in RISC-V HPC deployment
Gained insights into RISC-V's performance for scientific workloads
Provided recommendations for future RISC-V HPC efforts
Abstract
Funded by the UK ExCALIBUR H\&ES exascale programme, in early 2022 a RISC-V testbed for HPC was stood up to provide free access for scientific software developers to experiment with RISC-V for their workloads. Here we report on successes, challenges, and lessons learnt from this activity with a view to better understanding the suitability of RISC-V for HPC and important areas to focus RISC-V HPC community efforts upon.
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Taxonomy
TopicsScientific Computing and Data Management · Advanced Data Storage Technologies · Distributed and Parallel Computing Systems
