AI-Assisted GPU Porting of a 250k Line Legacy Weather Simulation Code
A research paper discusses using AI to assist in porting 250,000 lines of legacy weather simulation code to GPU architectures. The study focuses on validation-centric methods to ensure accuracy during the migration.
Why it matters
AI-assisted code migration is a high-value application for modernizing legacy scientific software, which is often critical for climate and weather research.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Tetsuya Hoshino [ view email ] [v1] Thu, 13 Aug 2026 11:52:51 UTC (161 KB) Full-text links: Access Paper: View a PDF of the paper titled Validation-Centric AI-Assisted GPU Porting of a 250,000+ Line Legacy Weather Simulation Code, by Tetsuya Hoshino and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.DC < prev | next > new | recent | 2026-08 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in