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BURST: Seeking High-performance, Interoperability and Scalability in Soft-RDMA

on YouTube 18m
Talkat NSDI '26 · 2026-05-04..05-06· [networking]

speakers

name:Huijun Shen
links:none on file
name:Zelong Yue
links:none on file
name:Jian Yang
links:none on file
name:Zhuo Jiang
links:none on file
name:Lang An
links:none on file
name:Yulin Chen
links:none on file
name:Yong Zhang
links:none on file
name:Luochangqi Ding
links:none on file
name:Xiaolong Zhong
links:none on file
name:Zhihong Wang
links:none on file
name:Jie Ding
links:none on file
name:Hongyu Wu
links:none on file
name:Jianxi Ye
links:none on file
name:Xijin Yin
links:none on file
name:Xingyu Zhang
links:none on file
name:Xingyu Guo
links:none on file
name:Guo Chen
links:none on file

resources

video:https://youtu.be/tPrNjcC67QE
slides:none on file

summary

BURST is a user-space RDMA stack that implements the Verbs API, uses a DPDK data plane, Intel DSA for offloaded memcpy, and a kernel-assistant to mmap app memory for true zero-copy; it adds a kernel-bypass connection manager and a multi-producer single-consumer doorbell queue. Claims include 98.7% line-rate on 400G, 3.2-6.3x throughput versus kernel RXE, LLM inference latency at 25.2% of TCP, and a 12x faster connection setup versus native RDMA CM.

AI-written summary · about

chapters (15)

  1. 0:00BURST introduction
  2. 1:03Hardware diversity in data centers
  3. 2:09NR-to-R interoperability problem
  4. 4:21NR-to-R challenges
  5. 5:46BURST design goals
  6. 6:50Limitations of software RDMA
  7. 7:36BURST architecture
  8. 8:41Accessing RDMA resources without kernel copies
  9. 10:11Fast work request notifications
  10. 11:36Zero-copy data plane design
  11. 12:39User space connection manager
  12. 13:42Congestion control in BURST
  13. 15:08Performance evaluation
  14. 16:13AI workload deployment
  15. 17:19Conclusion & Q&A

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