A Continuous Benchmarking Infrastructure for High-Performance Computing Applications
CoRR(2024)
摘要
For scientific software, especially those used for large-scale simulations,
achieving good performance and efficiently using the available hardware
resources is essential. It is important to regularly perform benchmarks to
ensure the efficient use of hardware and software when systems are changing and
the software evolves. However, this can become quickly very tedious when many
options for parameters, solvers, and hardware architectures are available. We
present a continuous benchmarking strategy that automates benchmarking new code
changes on high-performance computing clusters. This makes it possible to track
how each code change affects the performance and how it evolves.
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