An Edge Service for Managing HPC Workflows

J. T. Childers, T. Uram, D. Benjamin, T. LeCompte, M. Papka
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引用次数: 6

Abstract

Large experimental collaborations, such as those at the Large Hadron Collider at CERN, have developed large job management systems running hundreds of thousands of jobs across worldwide computing grids. HPC facilities are becoming more important to these data-intensive workflows and integrating them into the experiment job management system is non-trivial due to increased security and heterogeneous computing environments. The following article describes a common edge service developed and deployed on DOE supercomputers for both small users and large collaborations. This edge service provides a uniform interaction across many different supercomputers. Example users are described with the related performance.
管理HPC工作流的边缘服务
大型实验合作,如欧洲核子研究中心的大型强子对撞机,已经开发出大型作业管理系统,在全球计算网格中运行数十万个作业。高性能计算设备对于这些数据密集型工作流程变得越来越重要,由于安全性和异构计算环境的增加,将它们集成到实验作业管理系统中是非容易的。下面的文章描述了在DOE超级计算机上为小型用户和大型协作开发和部署的通用边缘服务。这个边缘服务在许多不同的超级计算机之间提供统一的交互。示例用户的描述以及相关性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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