~/talk

OpGuard: Bitwise Alignment for Precise and General Debugging of Production LLM Training

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name:Hang Zhu
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name:Yun Zhang
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linkedin:linhaibin
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slides:none on file

Claims a practical system, OpGuard, that uses bitwise alignment—lightweight per-op fingerprints plus a schedule-tolerant mapper that finds the longest prefix of bitwise-identical tensors—to localize the first mismatching operator as a concrete debugging pivot. Implements determinism control, preflight stable-op discovery, guarded replay and offline alignment, and runs at production scale at ByteDance. It diagnoses over twenty production issues (kernel races, silent data corruptions, bad machines), cuts triage from days to minutes, and costs ~30% overhead in trusted mode or ~80% for full signatures.

AI-written summary · about

  1. 0:00Debugging LLM training
  2. 1:03Current debugging limits
  3. 3:54Bitwise alignment insight
  4. 5:17Practical alignment challenges
  5. 7:00OpGuard workflow
  6. 8:07Handling non-determinism
  7. 9:52Robust alignment across traces
  8. 12:45Evaluation and deployment
  9. 14:11Debugging time impact
  10. 15:35Overhead and scalability
  11. 16:39Conclusion
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