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English(EN) Piper: A Programmable Distributed Training System

Piper系统简化了分布式AI模型训练

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了Piper，一个新颖的分布式训练系统，旨在简化大规模模型训练中组合各种并行策略的复杂过程。该系统将策略声明与运行时实现分离，允许用户通过模型注解和调度指令来定义训练方法。Piper随后将这些指令编译成执行计划，在保持与现有方法相当的性能的同时，通过计算和通信的联合调度实现新的效率。 AI

影响 简化了复杂的分布式训练设置，有望加速大型模型的研究和部署。

排序理由 该集群包含一篇详细介绍新的分布式训练系统的研究论文。

在 arXiv cs.AI 阅读 →

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Piper系统简化了分布式AI模型训练

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该集群包含一篇详细介绍新的分布式训练系统的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Megan Frisella, Shubham Tiwari, Andy Ruan, Yi Pan, Parker Gustafson, Mat Jacob, Gilbert Bernstein, Stephanie Wang ·

    Piper: 一个可编程的分布式训练系统

    arXiv:2606.11169v1 Announce Type: cross Abstract: Large-scale model training increasingly relies on composing multiple parallelism strategies, such as data, pipeline, and expert parallelism, together with memory-saving optimizations like ZeRO. Deployed systems for foundation mode…

  2. arXiv cs.AI TIER_1 English(EN) · Stephanie Wang ·

    Piper：一个可编程的分布式训练系统

    Large-scale model training increasingly relies on composing multiple parallelism strategies, such as data, pipeline, and expert parallelism, together with memory-saving optimizations like ZeRO. Deployed systems for foundation model pretraining often rely on human experts to manua…

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