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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.23932 |
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| _version_ | 1866914509415776256 |
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| author | Dai, Jun Wang, Xiaorun Li, Xingde Yang, Zheng Fang, Kexiong Gu, Zhiqun Wang, Hongxiang Ji, Yuefeng Zhang, Jiawei |
| author_facet | Dai, Jun Wang, Xiaorun Li, Xingde Yang, Zheng Fang, Kexiong Gu, Zhiqun Wang, Hongxiang Ji, Yuefeng Zhang, Jiawei |
| contents | We propose MatchRDMA, a proactive, segmented, and rate-matched long-haul RDMA scheme for geo-distributed LLM training over OTN. By coordinating source and destination OTN rates, it improves inter-DC throughput by up to 20x compared with conventional RDMA, and reduces destination-OTN buffer occupancy by up to 62.7%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_23932 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MatchRDMA: A Segmented and Rate-Matched Long-Haul RDMA Scheme for Geo-distributed LLM Training over OTN Dai, Jun Wang, Xiaorun Li, Xingde Yang, Zheng Fang, Kexiong Gu, Zhiqun Wang, Hongxiang Ji, Yuefeng Zhang, Jiawei Networking and Internet Architecture We propose MatchRDMA, a proactive, segmented, and rate-matched long-haul RDMA scheme for geo-distributed LLM training over OTN. By coordinating source and destination OTN rates, it improves inter-DC throughput by up to 20x compared with conventional RDMA, and reduces destination-OTN buffer occupancy by up to 62.7%. |
| title | MatchRDMA: A Segmented and Rate-Matched Long-Haul RDMA Scheme for Geo-distributed LLM Training over OTN |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2604.23932 |