Generate HPC job summary reports from Omnistat GPU telemetry.
npx skills add https://github.com/ROCm/omnistat --skill job-report
Please help me install this Agent Skill. Skill: job-report Source: https://github.com/ROCm/omnistat/tree/main/skills/job-report Command: npx skills add https://github.com/ROCm/omnistat --skill job-report
This Skill provides a fast and easy way to summarize the performance and resource utilization of HPC jobs, offering a high-level overview without in-depth analysis.
To generate a report for an HPC job with ID "JOB123", use the following command:
run omnistat-inspect job JOB123 report > report.json
High-intent search queries and answers about installing and using this skill.
To generate an HPC job performance summary with Omnistat, execute `omnistat-inspect job <JOB_ID> report` to output a JSON file containing GPU telemetry, utilization, power, and temperature metrics.
An HPC job summary report includes high-level resource utilization metrics such as GPU utilization, power consumption, temperature, and frequency to help identify performance trends without in-depth analysis.
You need access to a time-series database (TSDB) or CSV data source to collect GPU telemetry. The reporting process also requires Python and the Omnistat package to query and summarize the HPC job data.
This approach is designed for quick performance overviews and identifying high-level trends rather than detailed analysis. It provides a fast snapshot of resource utilization but lacks in-depth analytical capabilities.
The best way to identify anomalies quickly is generating a single-shot summary report to capture essential GPU metrics like utilization and power, providing a fast snapshot of job performance without needing deep analysis.
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