使用集成工具框架的超级计算机应用程序的可扩展控制和监视

G. R. Watson, W. Frings, Claudia Knobloch, Carsten Karbach, Albert L. Rossi
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引用次数: 8

摘要

最近,科学计算社区已经可以使用新一代功能强大得多的千万亿级系统。这些系统的强大功能,加上应用程序代码复杂性的相应增加,使得现有编程和性能工具的局限性更加明显。如果开发人员想要有效地利用这些系统,那么就需要新一代的示范工具。并行工具平台(PTP)项目建立于2005年,旨在创建一个最佳实践的集成工具工作台,旨在提高并行应用程序开发的生产力。多年来,PTP越来越受欢迎,并且现在被科学和工程领域中不断增长的开发人员社区所使用,然而,PTP在适应新的千兆级环境方面也面临着一些挑战。在本文中,我们描述了PTP核心基础设施的一些最新变化,这些变化将使它能够有效地与这些以及未来几代高性能计算系统一起工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable Control and Monitoring of Supercomputer Applications Using an Integrated Tool Framework
Recently, a new generation of significantly more powerful petascale systems has become available to the scientific computing community. The vast power of these systems, coupled with a corresponding increase in application code complexity, is now making the limitations of existing programming and performance tools ever more apparent. If developers are going to be able to effectively utilize these systems, then a new generation of exemplary tools will be required. The Parallel Tools Platform (PTP) Project was established in 2005 to create a best-practice integrated tool workbench designed to increase the productivity of parallel application development. PTP has increased in popularity over the years, and is now used by a growing community of developers in scientific and engineering fields, however, PTP also faces some challenges in adapting to the new petascale environments. In this paper we describe some of the recent changes to PTP core infrastructure that will enable it to work effectively with these and future generations of high performance computing systems.
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