The article introduces AMSP, a system designed to optimize ZeRO for scalable LLM training. It proposes flexible sharding strategies and efficient communication-computation overlap. Evaluations show significant improvements in Model FLOPs Utilization (MFU) compared to other systems like MiCS and ZeRO++. Challenges in large-scale LLM training with ZeRO are discussed, along with proposed solutions by AMSP.
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by Qiaoling Che... at arxiv.org 03-14-2024
https://arxiv.org/pdf/2311.00257.pdfDeeper Inquiries