tilegym-improve-cutile-kernel-perf
tilegym-improve-cutile-kernel-perf is an agent skill published by nvidia, listed under review & testing. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, and targeted tuning. Covers aspects such as tile sizes, occupancy, autotune configurations, TMA, latency hints, persistent scheduling, number of CUDA threads per block, flush_to_zero, and IR-level debugging.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
Maintenance
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", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project.
tilegym-improve-cutile-kernel-perf compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tilegym-improve-cutile-kernel-perf (this page) | nvidia | Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparis… | 3,735 | 2026-10-26 |
| deepstream-sop(same repository) | nvidia | Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP I… | 3,735 | 2026-10-26 |
| doca-aes-gcm(same repository) | nvidia | Use this skill when the user is doing hands-on DOCA AES-GCM work on a BlueField DPU or ConnectX NIC — configu… | 3,735 | 2026-10-26 |
| doca-argp(same repository) | nvidia | Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / rem… | 3,735 | 2026-10-26 |
| doca-bare-metal-deployment(same repository) | nvidia | Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueF… | 3,735 | 2026-10-26 |
| doca-bench-extension(same repository) | nvidia | Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in —… | 3,735 | 2026-10-26 |
| doca-caps(same repository) | nvidia | Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host —… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tilegym-improve-cutile-kernel-perf
- What does tilegym-improve-cutile-kernel-perf do?
- Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, and targeted tuning. Covers aspects such as tile sizes, occupancy, autotune configurations, TMA, latency hints, persistent scheduling, number of CUDA threads per block, flush_to_zero, and IR-level debugging.
- How do I install tilegym-improve-cutile-kernel-perf?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tilegym-improve-cutile-kernel-perf?
- nvidia.
- Is tilegym-improve-cutile-kernel-perf maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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