Description

Provides an alternative driver-based implementation of the micro benchmarking suite. This implementation includes cold-caching and interleaving as orthogonal features. This PR is structured as a clean addition for ease of review -- if chosen to be merged, it would replace the current suite.

Each individual benchmark file is <60 LOC with configs handled in a central models.py for housing configs, and a single driver which parses the benchmarks to be run AOT allowing for arbitrary scheduling.

This PR includes the significance testing changes introduced in #614

This suite is designed for detecting performance regressions across a shape sweep, not just point-estimating a single kernel. Samples are collected round-robin across benchmarks and re-shuffled each round, so time-correlated GPU drift (thermal ramp, power/voltage fluctuation, a neighbor on a shared GPU) becomes shared variance instead of a systematic bias between benchmarks.

Type of change

• Documentation change (change only to the documentation, either a fix or a new content)
• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Infra/Build change
• Code refactoring

Changes

Please list the changes introduced in this PR:

• Change A
• Change B

Checklist:

• I have read and followed the contributing guidelines
• The functionality is complete
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes