English(EN) Scheduling Parallel Optical Circuit Switches for AI Training

新算法Spectra优化用于AI训练的光交换机

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

一篇新论文提出了Spectra，这是一种旨在优化并行光路交换机（OCSes）调度以用于AI训练的算法。该方法解决了管理多个OCSes上的时变流量需求和重新配置延迟的挑战。Spectra将流量需求分解为加权置换，在交换机之间进行调度，并通过置换分割来平衡负载。在包括GPT和Qwen MoE在内的AI工作负载上的评估表明，与现有算法相比，Spectra显著缩短了调度完成时间。 AI

影响可能显著降低大规模AI训练基础设施的延迟和能耗。

排序理由详细介绍用于AI基础设施优化的新算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Kevin Liang, Litao Qiao, Isaac Keslassy, Bill Lin · 2026-10-15 04:00

为AI训练调度并行光路交换机

arXiv:2603.07373v2 Announce Type: replace-cross Abstract: The rapid growth of AI training has dramatically increased datacenter traffic demand and energy consumption, which has motivated renewed interest in optical circuit switches (OCSes) as a high-bandwidth, energy-efficient al…

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为AI训练调度并行光路交换机

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