FINJ: A Fault Injection Tool for HPC Systems
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Abstract (arXiv)
We present FINJ, a high-level fault injection tool for High-Performance Computing (HPC) systems, with a focus on the management of complex experiments. FINJ provides support for custom workloads and allows generation of anomalous conditions through the use of fault-triggering executable programs. FINJ can also be integrated seamlessly with most other lower-level fault injection tools, allowing users to create and monitor a variety of highly-complex and diverse fault conditions in HPC systems that would be difficult to recreate in practice. FINJ is suitable for experiments involving many, potentially interacting nodes, making it a very versatile design and evaluation tool.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 26 Jul 2018.
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- 2022RUAD: unsupervised anomaly detection in HPC systemscited by 4
- 2022RUAD: unsupervised anomaly detection in HPC systems28 Aug 2022