Parse Omnistat inspect data to diagnose GPU and host performance issues.
npx skills add https://github.com/ROCm/omnistat --skill job-analysis-rocm
Please help me install this Agent Skill. Skill: job-analysis Source: https://github.com/ROCm/omnistat/tree/main/skills/job-analysis Command: npx skills add https://github.com/ROCm/omnistat --skill job-analysis-rocm
This Skill enables detailed analysis of HPC job performance, identifying bottlenecks, hardware issues, and anomalies through Omnistat's inspect tool.
Analyze an HPC job by running: job-analysis run omnistat-inspect commands
High-intent search queries and answers about installing and using this skill.
To analyze HPC job performance, this Skill parses and interprets telemetry data from Omnistat's inspect tool to provide detailed insights into GPU and host metrics, diagnosing bottlenecks and hardware anomalies.
Diagnosing slow GPU utilization requires analyzing HPC job telemetry to identify performance issues. This Skill processes Omnistat data to detect memory imbalances, thermal throttling, and other hardware anomalies.
Yes, you need Omnistat installed for data collection and Python for processing. This Skill relies on Omnistat's inspect tool to supply the raw GPU and host metrics required for performance analysis.
Yes, HPC job performance analysis with this Skill identifies memory imbalances and thermal throttling. It parses Omnistat telemetry to deliver diagnostic insights into these specific hardware anomalies.
To start analyzing an HPC job for bottlenecks, run the command `job-analysis run omnistat-inspect commands`. This processes your telemetry data to identify performance issues in your computing environment.
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