Vulcan: LLM-Driven Heuristics for Systems Optimization
Published:Dec 31, 2025 18:58
•1 min read
•ArXiv
Analysis
This paper introduces Vulcan, a novel approach to automate the design of system heuristics using Large Language Models (LLMs). It addresses the challenge of manually designing and maintaining performant heuristics in dynamic system environments. The core idea is to leverage LLMs to generate instance-optimal heuristics tailored to specific workloads and hardware. This is a significant contribution because it offers a potential solution to the ongoing problem of adapting system behavior to changing conditions, reducing the need for manual tuning and optimization.
Key Takeaways
Reference
“Vulcan synthesizes instance-optimal heuristics -- specialized for the exact workloads and hardware where they will be deployed -- using code-generating large language models (LLMs).”