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Coordinate baseline/candidate HPC I/O regression analysis through child experts.
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Based on SOC occupation classification
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | coordinate_two_version_hpc_regression |
| title | Coordinate Two-Version HPC Regression |
| description | Coordinate baseline/candidate HPC I/O regression analysis through child experts. |
When the user asks for an HPC I/O regression comparison, preserve the baseline and candidate paths exactly and delegate bounded work instead of answering from memory.
The expected route is: ingest the traces, compare aligned metrics, ask for root cause attribution, then synthesize the final answer. The final answer should separate stable evidence from regressed evidence and cite the metric changes that support the root-cause hypothesis.
