6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DC2025
Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training
Yangtao Deng, Lei Zhang, Qinlong Wang +13
Reliability is essential for ensuring efficiency in LLM training. However, many real-world reliability issues remain difficult to resolve, resulting in wasted resources and degrade…
cs.CL2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization
Yang Luo, Xiaozhe Ren, Zangwei Zheng +3
Adaptive gradient methods, such as Adam and LAMB, have demonstrated excellent performance in the training of large language models. Nevertheless, the need for adaptivity requires m…
cs.NI2023★ 6 cited
Collie: Finding Performance Anomalies in RDMA Subsystems
Xinhao Kong, Yibo Zhu, Huaping Zhou +4
High-speed RDMA networks are getting rapidly adopted in the industry for their low latency and reduced CPU overheads. To verify that RDMA can be used in production, system administ…