KernelSkill
Multi-agent framework that systematically optimizes GPU kernels using expert rules over LLM heuristics
About
KernelSkill is a research framework that applies multi-agent collaboration to GPU kernel optimization. Instead of relying on implicit LLM trial-and-error, it uses explicit expert optimization rules to systematically improve kernel efficiency. Designed for researchers and HPC developers working on GPU performance optimization, it offers interpretable strategies that make optimization decisions transparent and reproducible.
Details
| Type | coding-agent |
| Deployment | self-hosted |
| Supported Models |
Tags
Quick Info
- Organization
- Research
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Mar 12, 2026
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