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Barre: Empowering Simplified and Versatile Programmable Congestion Control in...

Talkat USENIX ATC '25 · 2025-07-07..07-09· [networking, machine-learning]
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name:Haohan Xu
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name:Yang Bai
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name:Jianxi Ye
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Barre is a practical PCC-style congestion controller that runs on BlueField-3 SmartNICs, uses RTD probe packets plus high-frequency CMP signals, and implements adaptive AMD increases, a dual-lock limiter, and an inflight monitor to bound packet bloat. Deployed on a 400 Gbps RoCE cluster for over a year supporting 10,000 GPUs, Barre improves AI training throughput by about 9.6%, reduces queue length up to 19%, handles RT probe loss up to 8.9%, and adapts DCQCN parameters for a 19% normalized throughput gain.

AI-written summary · about

  1. 0:00Barre introduction
  2. 1:25Modern congestion control challenges
  3. 3:13Practical design principles
  4. 6:26Barre’s algorithm
  5. 11:12Barre on BlueField-3
  6. 13:06Evaluation vs DCQCN & InfiniBand
  7. 14:33Production results
  8. 15:16Optimizing DCQCN with Barre
  9. 16:20Conclusion
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