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Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training

Talkat USENIX ATC '23 · 2023-07-10..07-12· [machine-learning]
name:Mark Zhao
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name:David Xu
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name:Hao Wu
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Composite fabric combines Tectonic HDD capacity with a flash tier called Shift that sits in a consistent‑hash ring and uses Meta’s cashlib for node‑local DRAM/flash caching. An admission layer buckets reads (table/partition/feature), uses application‑aware cache policies that infer future reads from dataset specs plus recent history, and enforces a 100 MB/s write limit. Deployed at petabyte scale since early 2022, it absorbs 1.51-3.28x more IO than LRU baselines and achieves a 29% power reduction.

AI-written summary · about

  1. 0:00Introduction to tectonic
  2. 1:36ML storage challenges
  3. 3:28Designing composite storage
  4. 5:51Workload characteristics
  5. 8:34Architecture of shift
  6. 11:40Intelligent cache policies
  7. 15:11Performance evaluation
  8. 17:55Production impact and summary
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