MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training
Zhuang Wang,
Xinyu Wu,
T. S. Eugene Ng
Abstract:Large-scale distributed training is increasingly becoming communication bound. Many gradient compression algorithms have been proposed to reduce the communication overhead and improve scalability. However, it has been observed that in some cases gradient compression may even harm the performance of distributed training.In this paper, we propose MergeComp, a compression scheduler to optimize the scalability of communication-efficient distributed training. It automatically schedules the compression operations to… Show more
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