NeurIPS | CAT LABhttps://deep-learning-profiling-tools.github.io/CAT-Lab/tag/neurips/NeurIPSHugo Blox Builder (https://hugoblox.com)en-usThu, 24 Sep 2026 00:00:00 +0000https://deep-learning-profiling-tools.github.io/CAT-Lab/media/icon_hu6808975029018430273.pngNeurIPShttps://deep-learning-profiling-tools.github.io/CAT-Lab/tag/neurips/HPC-Bench Accepted at NeurIPS 2026https://deep-learning-profiling-tools.github.io/CAT-Lab/news/2026-09-24-hpc-bench-neurips2026/Thu, 24 Sep 2026 00:00:00 +0000https://deep-learning-profiling-tools.github.io/CAT-Lab/news/2026-09-24-hpc-bench-neurips2026/<p>Our paper <a href="https://deep-learning-profiling-tools.github.io/CAT-Lab/CAT-Lab/publication/hpc-bench_neurips2026/"><em>HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes</em></a>, by <strong>Bowen Cui, Junyu Yin, Tejas Ramesh, Leo Lim, Oscar Hernandez, and Keren Zhou</strong>, has been accepted in the <strong>NeurIPS 2026 Evaluations and Datasets track</strong>. HPC-Bench evaluates LLM-generated kernel optimizations inside complete HPC programs, combining program-level correctness checks with performance measurements. Congratulations to all the authors!</p>