most citedDIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System

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cs.DC2026★ 4 cited

DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System

Md Hasanur Rashid, Xinyi Li, Youbiao He +2

Enabling efficient, high-performance data access in parallel file systems (PFS) is critical for today's high-performance computing systems. PFS client-side I/O heavily impacts the…