Agentic CUDA Kernel Optimizer is a LangGraph workflow wrapped around a C++ CUDA harness that optimizes CUDA kernels. Instead of asking a model to suggest changes in prose, it lets an agent propose and measure kernel variants inside a real build and benchmark loop.
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Let an agent iterate on CUDA variants against measurements
Measure each candidate in a repeatable harness
Inspect generated variants next to their timings
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