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Ziheng Jiang

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Verl: A Flexible and Efficient RL Framework for LLMsPyTorch Conference 20252025-10-22
verl is an open source RL pipeline that combines a hybrid-controller (central logic + many SPMD controllers) with WorkerGroup and ResourcePool for cluster…
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Understanding Stragglers in Large Model Training Using What-if AnalysisOSDI '252025-07-07
Five-month ByteDance cluster traces, with jobs up to >5,000 GPUs, drive a counterfactual what-if simulation that replaces computation times with the mean and…
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
MegaScale is a production system that trains LLMs on more than 10,000 GPUs and achieves concrete gains: 55.2% Model FLOPs Utilization when training a 175B…
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