AI Agents Accelerate GPU Porting for Legacy Weather Code

TL;DR. Researchers used AI agents to successfully port a 250,000-line Fortran weather simulation code to GPUs. - The AI-assisted workflow achieved a 5.1x application-level speedup for the typhoon simulation. - AI agents extracted OpenMP regions and applied OpenACC transformations, validating results via element-wise comparison. - The process identified numerical discrepancies, highlighting the need for validation-centric AI porting.

• AI agents, specifically CLI-based LLMs, assisted in porting CReSS, a 250,000-line Fortran weather simulation code, to GPUs.
• The AI-assisted workflow involved extracting OpenMP regions, generating kernel benchmarks, and applying OpenACC transformations.
• The process achieved a 5.1x speedup on a real typhoon simulation and detected numerical discrepancies requiring developer feedback.
• The study emphasizes the importance of validation-centric workflow design for AI-assisted GPU porting of complex legacy scientific applications.

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