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K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model

https://arxiv.org/abs/2602.19128

by matt_d • 5 months ago

2 1 5 months ago

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matt_d• 5 months ago

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.

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