Comprehensive Evaluation of LLMs in HPC Code Performance Optimization

Abstract

We empirically assess modern large language models on representative HPC code optimization tasks, detailing accuracy, performance gains, and practical guidance for production integration.

Publication
In The Proceedings of the Workshop on AI Assisted Software Development for HPC
Bowen Cui
Bowen Cui
2024 Fall –

Bowen Cui is a second-year Ph.D. student at George Mason University advised by Prof. Keren Zhou. His research interests focus on LLM-based code agents, benchmarking, and performance optimization.

Tejas Ramesh
Tejas Ramesh
2023 Fall -

My research interests include Artificial Intelligence and High Performance Computing

Keren Zhou
Keren Zhou
Assistant Professor