Universal Data Junction: A Transport Layer for Data Driven Workflows

U. Haus, Timothy Dykes, Aniello Esposito, Clément Foyer, Adrian Tate
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Abstract

A novel transport library for the efficient coupling of applications through their data dependencies is presented. The design is driven by the intent to require minimal changes to existing scientific applications and to declare the data objects that are meaningful for other applications for read and write as well as to perform transparent transport including automatic redistribution of parallel data structures, thus permitting seamless coupling of applications in workflows. The actual transport can be selected at run time, and can exploit a variety of data exchange methods, including MPI, Dataspaces, Ceph Rados, CRAY Datawarp, and a POSIX file system. For the case of MPI transport, the library is used to implement the first stage of a co-working visualization pipeline for CP2K and results show a significant advantage compared to a filesystem based approach.
通用数据枢纽:数据驱动工作流的传输层
提出了一种新的传输库,用于通过应用程序的数据依赖关系实现应用程序的有效耦合。该设计的目的是要求对现有科学应用程序进行最小的更改,并声明对其他应用程序的读写有意义的数据对象,以及执行透明的传输,包括并行数据结构的自动重新分配,从而允许工作流中的应用程序无缝耦合。实际的传输可以在运行时选择,并且可以利用各种数据交换方法,包括MPI、datasespaces、Ceph Rados、CRAY Datawarp和POSIX文件系统。对于MPI传输,该库用于实现CP2K的协同工作可视化管道的第一阶段,结果显示与基于文件系统的方法相比具有显著的优势。
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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