HPC-Bench Accepted at NeurIPS 2026
Our paper HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes, by Bowen Cui, Junyu Yin, Tejas Ramesh, Leo Lim, Oscar Hernandez, and Keren Zhou, has been accepted in the NeurIPS 2026 Evaluations and Datasets track. HPC-Bench evaluates LLM-generated kernel optimizations inside complete HPC programs, combining program-level correctness checks with performance measurements. Congratulations to all the authors!
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
2023 Fall -
My research interests include Artificial Intelligence and High Performance Computing
Leo Lim
2025 Fall -
High school researcher at CAT Lab studying artificial intelligence, statistics, physics, and mathematics.
