End-to-end data movement using MPI-IO over routed terabits infrastructures

Geoffroy R. Vallée, S. Atchley, Youngjae Kim, G. Shipman
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引用次数: 3

Abstract

Scientific discovery is nowadays driven by large-scale simulations running on massively parallel high-performance computing (HPC) systems. These applications each generate a large amount of data, which then needs to be post-processed for example for data mining or visualization. Unfortunately, the computing platform used for post processing might be different from the one on which the data is initially generated, introducing the challenge of moving large amount of data between computing platforms. This is especially challenging when these two platforms are geographically separated since the data needs to be moved between computing facilities. This is even more critical when scientists tightly couple their domain specific applications with a post processing application. The paper presents a solution for the data transfer between MPI applications using a dedicated wide area network (WAN) terabit infrastructure. The proposed solution is based on parallel access to data files and the Message Passing Interface (MPI) over the Common Communication Infrastructure (CCI) for the data transfer over a routed infrastructure. In the context of this research, the Energy Sciences Network (ESnet) of the U.S. Department of Energy (DOE) is targeted for the transfer of data between DOE national laboratories.
在路由太比特基础设施上使用MPI-IO的端到端数据移动
如今,科学发现是由在大规模并行高性能计算(HPC)系统上运行的大规模模拟驱动的。这些应用程序都会生成大量数据,然后需要对这些数据进行后处理,例如用于数据挖掘或可视化。不幸的是,用于后处理的计算平台可能与最初生成数据的计算平台不同,这就带来了在计算平台之间移动大量数据的挑战。当这两个平台在地理位置上分开时,这尤其具有挑战性,因为数据需要在计算设施之间移动。当科学家将特定领域的应用程序与后处理应用程序紧密结合时,这一点就更加重要了。本文提出了一种利用专用的广域网(WAN)太比特基础设施在MPI应用程序之间进行数据传输的解决方案。所提出的解决方案基于对数据文件的并行访问和公共通信基础设施(CCI)上的消息传递接口(MPI),用于在路由基础设施上进行数据传输。在这项研究的背景下,美国能源部(DOE)的能源科学网络(ESnet)是能源部国家实验室之间数据传输的目标。
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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