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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
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Cite this work

@inproceedings{yildirim2026correctisnotioefficient,
  title={Correct Is Not I/O Efficient: Characterizing I/O Behavior of LLM Agents on Scientific Data},
  author={Yildirim, Izzet and Ye, Jie and Cernuda, Jaime and Sun, Xian-He and Kougkas, Anthony},
  booktitle={13th Greater Chicago Area Systems Research Workshop (GCASR 2026)},
  year={2026},
  month={may},
  note={Poster presentation}
}

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.