Verifying Functionality and Performance of HPC Applications with Continuous Integration

Author:

Melone Caetano1ORCID,Jones Steve1ORCID

Affiliation:

1. Stanford High Performance Computing Center, Stanford University, USA

Funder

National Nuclear Security Administration

Publisher

ACM

Reference8 articles.

1. Legion: Expressing locality and independence with logical regions

2. How to Professionally Develop Reusable Scientific Software—And When Not To

3. Mario Di Renzo , Lin Fu , and Javier Urzay . 2020. HTR solver: An open-source exascale-oriented task-based multi-GPU high-order code for hypersonic aerothermodynamics. Computer Physics Communications 255 (Oct . 2020 ), 107262. https://doi.org/10.1016/j.cpc.2020.107262 10.1016/j.cpc.2020.107262 Mario Di Renzo, Lin Fu, and Javier Urzay. 2020. HTR solver: An open-source exascale-oriented task-based multi-GPU high-order code for hypersonic aerothermodynamics. Computer Physics Communications 255 (Oct. 2020), 107262. https://doi.org/10.1016/j.cpc.2020.107262

4. Exascale Computing Project (ECP). [n. d.]. ECP Continuous Integration Documentation. https://ecp-ci.gitlab.io/ Exascale Computing Project (ECP). [n. d.]. ECP Continuous Integration Documentation. https://ecp-ci.gitlab.io/

5. Todd Gamblin and Daniel S. Katz. 2023. Overcoming Challenges to Continuous Integration in HPC. http://arxiv.org/abs/2303.17034 arXiv:2303.17034 [cs]. Todd Gamblin and Daniel S. Katz. 2023. Overcoming Challenges to Continuous Integration in HPC. http://arxiv.org/abs/2303.17034 arXiv:2303.17034 [cs].

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1. A continuous benchmarking infrastructure for high-performance computing applications;International Journal of Parallel, Emergent and Distributed Systems;2024-05-30

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