GCASR'262026Poster
Correct Is Not I/O Efficient: Characterizing I/O Behavior of LLM Agents on Scientific Data
Izzet Yildirim, Jie Ye, Jaime Cernuda, Xian-He Sun, Anthony Kougkas
LLM AgentsI/O CharacterizationScientific DataHPC
This work measures the storage behavior of correctness-passing, agent-generated scientific workflows and shows that correct code can issue substantially more POSIX operations and read more data than expert implementations.