通过集成开发工具提高UPC生产力

Max Billingsley, Beth Tibbitts, A. George
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引用次数: 1

摘要

在高性能计算(HPC)领域,近年来人们越来越关注高性能计算应用程序开发中生产力的重要性。生产力的一个关键方面是所使用的编程模型,而分区全局地址空间(PGAS)模型家族,如UPC和X10,在平衡性能和生产力方面起到了推动作用。同样重要的是用于支持诸如编辑、调试和优化程序等活动的各种开发工具。作为集成开发环境(IDE)的一部分,这些工具通常最有用。虽然在将IDE功能引入HPC领域方面已经取得了一些进展,特别是通过Eclipse项目,但支持主要集中在MPI和OpenMP工具上。在本文中,我们介绍了将基于eclipse的IDE功能引入PGAS开发人员社区的研究和开发活动。我们将重点放在UPC工具上,介绍在Eclipse中使用UPC程序的现有能力的背景,然后介绍开源Berkeley UPC编译器的工具链和项目向导,基本的UPC静态分析工具,以及支持UPC的性能分析工具(并行性能向导)的集成。最后,我们提出了未来的工作,并为进一步集成UPC和其他PGAS工具提供了建议,以提高整体开发人员的生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving UPC productivity via integrated development tools
In the world of high-performance computing (HPC), there has been an increased focus in recent years upon the importance of productivity in HPC application development. One crucial aspect of productivity is the programming model used, and the family of partitioned global-address-space (PGAS) models, such as UPC and X10, has served to advance the state of the art in balancing performance and productivity. Also of great importance is the variety of development tools used to support activities such as editing, debugging, and optimizing programs. These tools are often most useful as part of an integrated development environment (IDE). While some progress has been made towards bringing IDE capabilities into the HPC world, in particular by way of Eclipse projects, support has mainly focused on MPI and OpenMP tools. In this paper, we present research and development activities that are bringing Eclipse-based IDE capabilities to the PGAS developer community. We focus on tools for UPC, giving background on previously existing capabilities to work with UPC programs in Eclipse and then presenting a tool-chain and project wizard for the open-source Berkeley UPC compiler, basic UPC static analysis tools, and integration of our performance analysis tool (Parallel Performance Wizard) supporting UPC. Finally, we conclude by proposing future work and providing recommendations for further integration of UPC and other PGAS tools to enhance overall developer productivity.
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