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English(EN) Diamond Agent: Agentic Control of Federated HPC Resources as a Service

Diamond Agent 简化了联邦式集群中的高性能计算资源管理

研究人员开发了 Diamond Agent,这是一个新颖的系统,旨在管理和协调联邦式、异构集群中的高性能计算 (HPC) 资源。该代理式系统通过提供统一的接口和智能执行能力,解决了工作流上下文保留、数据移动和高效任务调度方面的挑战。实验表明,与传统方法相比,Diamond Agent 显著缩短了多站点 HPC 工作流的完成时间。 AI

影响 该系统可以提高大规模计算在人工智能研究和开发中的效率和可访问性。

排序理由 该集群包含一篇详细介绍新的高性能计算资源管理系统的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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Diamond Agent 简化了联邦式集群中的高性能计算资源管理

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该集群包含一篇详细介绍新的高性能计算资源管理系统的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haotian Xie, Junlin Chen, Mingkai Zheng, Yifan Zhu, Minu Mathew, Max Burnette, Yadu Babuji, Volodymyr Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian Foster, Zhao Zhang ·

    Diamond Agent:联邦高性能计算资源即服务中的代理控制

    arXiv:2609.06181v1 Announce Type: cross Abstract: Efficiently aggregating and orchestrating computing power across heterogeneous clusters for HPC workflows faces four practical challenges: preserving workflow context across independently administered clusters, moving large datase…