HPC工作流的用户导向:最新的和未来的方向

SWEET '13 Pub Date : 2013-06-23 DOI:10.1145/2499896.2499900
M. Mattoso, Kary A. C. S. Ocaña, Felipe Horta, Jonas Dias, Eduardo S. Ogasawara, V. S. Sousa, Daniel de Oliveira, F. Costa, Igor Araújo
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引用次数: 22

摘要

2006年,一组领先的研究人员聚集在一起讨论了科学工作流支持技术面临的几个挑战,其中许多仍然是开放的挑战,例如用户对工作流的指导。由于大数据和长时间的工作流程,许多用户需要实时监控、分析和特别执行干扰等转向功能。工作流执行应动态响应执行中的干扰,以支持实验过程在高性能计算中的应用。本文回顾了用户导向和动态工作流中的问题,介绍了其中的最新技术,以及开放的挑战。我们的目标是讨论与科学家指导相关的研究问题,并就如何在当前的科学工作流技术中支持这些需求提出一些想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User-steering of HPC workflows: state-of-the-art and future directions
In 2006 a group of leading researchers was gathered to discuss several challenges to scientific workflow supporting technologies and many of which still remain open challenges, such as the steering of workflows by users. Due to big data and long lasting workflows, many users demand steering features such as real-time monitoring, analysis and specially execution interference. The workflow execution should respond dynamically to such interference in the execution, to support the experimentation process in high performance computing. This paper revisits the issues in the user steering and dynamic workflows, presenting the state-of-the-art in it, and the open challenges. Our goal is to discuss research issues related to scientists' steering and present some ideas on how these demands may be supported in current scientific workflow technologies.
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