12 citations · 44 across the 10 of their papers we have counts for
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cs.DC2025
Optimizing Frequent Checkpointing via Low-Cost Differential for Distributed Training Systems
Chenxuan Yao, Yuchong Hu, Feifan Liu +4
Distributed training of large deep-learning models often leads to failures, so checkpointing is commonly employed for recovery. State-of-the-art studies focus on frequent checkpoin…
cs.DC2019★ 4 cited
Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation
Xiaolu Li, Zuoru Yang, Jinhong Li +4
We propose repair pipelining, a technique that speeds up the repair performance in general erasure-coded storage. By carefully scheduling the repair of failed data in small-size un…
cs.DC2017★ 10 cited
Optimal Repair Layering for Erasure-Coded Data Centers: From Theory to Practice
Yuchong Hu, Xiaolu Li, Mi Zhang +4
Repair performance in hierarchical data centers is often bottlenecked by cross-rack network transfer. Recent theoretical results show that the cross-rack repair traffic can be mini…