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tilegym-improve-cutile-kernel-perf

Maintained by nvidia

Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "i

Current version
Unknown
License
CC-BY-4.0 AND Apache-2.0
Network access
Unknown / not assessed
Review status
Not verified

Problem it solves

This catalog entry helps users find and evaluate tilegym-improve-cutile-kernel-perf for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider tilegym-improve-cutile-kernel-perf when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

tilegym-improve-cutile-kernel-perf is listed as an agent skill in RefHub. The listed maintainer is nvidia. The available catalog summary is: Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "i When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

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Install command
npx skills add nvidia/skills --skill tilegym-improve-cutile-kernel-perf -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.

Source information and review status

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Source last reviewed
Not recorded
Catalog source
Open catalog source