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DOE OSTI · 1645050

Generating HPC Job Profiles and Expectations with Time-Series Data - Showcase Presentation

Fullop, Joseph Patrick IV·Layman, Brett Leasure
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Abstract

Summary: Job Profiles and Expectations provide important insights into workloads (Job Profile: window into how a job is running; Job Expectation: Is that job behaving as expected; Provides us with actionable information). Machine learning can be used to group job runs into workload types (Identified groups can then be used for generate expectations); Profiles and Expectations also enable the study of: System-wide events, tracking system changes; System resource utilization and scheduling; Marking log data for further investigation or failures/anomalies.

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BibTeXRIS

Fullop, Joseph Patrick IV, Layman, Brett Leasure. 2020-07-16. Generating HPC Job Profiles and Expectations with Time-Series Data - Showcase Presentation. https://doi.org/10.2172/1645050

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