{"ID":2825698,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.20080","arxiv_id":"2512.20080","title":"CBA: Communication-Bound-Aware Cross-Domain Resource Assignment for Pipeline-Parallel Distributed LLM Training in Dynamic Multi-DC Optical Networks","abstract":"We propose a communication-bound-aware cross-domain resource assignment framework for pipeline-parallel distributed training over multi-datacenter optical networks, which lowers iteration time by 31.25% and reduces 13.20% blocking requests compared to baselines.","short_abstract":"We propose a communication-bound-aware cross-domain resource assignment framework for pipeline-parallel distributed training over multi-datacenter optical networks, which lowers iteration time by 31.25% and reduces 13.20% blocking requests compared to baselines.","url_abs":"https://arxiv.org/abs/2512.20080","url_pdf":"https://arxiv.org/pdf/2512.20080v1","authors":"[\"Dianxuan Fu\",\"Xiaomin Liu\",\"Yihao Zhang\",\"Shikui Shen\",\"Weisheng Hu\",\"Qunbi Zhuge\"]","published":"2025-12-23T06:26:20Z","proceeding":"cs.NI","tasks":"[\"cs.NI\",\"cs.AI\",\"physics.optics\"]","methods":"[\"Large Language Model\"]","has_code":false}
