Agentic CUDA Kernel Optimizer
github.com/bertaye/agentic-cuda-optimizer- Category
- AI Agents
- Rank
- No. 2423Tools index
- Type
- AGENT
- GitHub
- 5 stars
- Date
About
A LangGraph-based agent that turns a workload description into a working GPU kernel through repeated cycles of code generation, correctness checking, benchmarking, and refinement. It compiles candidate kernels with NVRTC through a standalone C++ test harness, can query GPU properties and NVIDIA documentation, inspects Nsight Compute profiling counters to guide its next attempt, and keeps the fastest implementation that passes validation.
Why it made the leaderboard
Automates a tedious, expertise-heavy loop, writing and benchmarking CUDA kernel variants with real GPU profiling feedback, instead of just wrapping a chat model around code generation.
Tags
cudalanggraphgpukernel-optimizationnvidiansight
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