> K-Search is an automated kernel engineering system that uses large language models (GPT-5, Gemini etc.) to iteratively generate and optimize GPU kernels. Unlike one-shot code generation, K-Search maintains a co-evolving world model — a structured search tree that encodes hypotheses about kernel bottlenecks, design alternatives, and optimization strategies — guiding multi-round, evidence-driven search over the kernel design space efficiently.
Repo:
K-Search: LLM-Driven GPU Kernel Optimization with Co-Evolving Intrinsic World Model, https://github.com/caoshiyi/K-Search
> K-Search is an automated kernel engineering system that uses large language models (GPT-5, Gemini etc.) to iteratively generate and optimize GPU kernels. Unlike one-shot code generation, K-Search maintains a co-evolving world model — a structured search tree that encodes hypotheses about kernel bottlenecks, design alternatives, and optimization strategies — guiding multi-round, evidence-driven search over the kernel design space efficiently.