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Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files

Talkat FAST '20 · on Tuesday, 2020-02-25· at 16:00· FAST '20: Grand Ballroom ABCFGH· [data-engineering]
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Analysis of Cori production logs (84M Darshan records, 52M files, ~13 PB total) uses Darshan and Lustre metadata to isolate I/O‑intensive files (>=100 GB and >=2 accesses), leaving ~8 PB across ~400k jobs. Findings: 71% of hot files are read/write, 22% read‑only, 7% write‑only; over 80% of runs perform only reads or only writes; producer–consumer interarrival averages ~31 hours; 80% of runs move <12 MB but mean reads/writes are 17/25 GB; strong Lustre OST imbalance and intra‑run rank I/O time variance up to ~50 s.

AI-written summary · about

  1. 0:00Intro
  2. 0:24HPC systems suffer from severe I/O bottleneck!
  3. 1:40Our Study Platform
  4. 5:26Terms & Definitions
  5. 10:32Read & Write Run Inter-arrival Times
  6. 11:48Consecutive Runs of the Same Type
  7. 12:52File Sharing Across Applications
  8. 14:58Data Transfer Per Read & Write Run
  9. 16:27Data Transfer Per OST
  10. 18:05Intra-run I/O Variability
  11. 22:42Conclusion
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