Survey details LLM-driven automation for GPU kernel generation

A new survey paper explores the use of large language models (LLMs) and agentic systems for automating the generation and optimization of GPU kernels. These kernels are crucial for the performance of AI systems, but their manual creation is a time-consuming and non-scalable process. The paper aims to provide a structured overview of current LLM-driven approaches, datasets, and benchmarks, while also outlining future research directions in this rapidly evolving field. AI

IMPACT Automating GPU kernel generation with LLMs could significantly accelerate AI system development and performance.

RANK_REASON This is a survey paper on a research topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• GPU kernels
• LLMs
• Yang Yu

• paper
• infra

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