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20242026
most citedSolving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.DC2026

Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training

Han Zhang, Jianchun Liu, Hongli Xu

The rapid evolution of large language models (LLMs) has made geographically distributed training necessary due to GPU scarcity within a single cloud region. In such cross-region se…

cs.DC2025

OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training

Hongpei Li, Han Zhang, Huikang Liu +2

Pipeline parallelism (PP) has become a standard technique for scaling large language model (LLM) training across multiple devices. However, despite recent progress in reducing memo…