XPS: FULL: FP: A profile-centric IDE for science-based performance engineering in the cloud

XPS：FULL：FP：以配置文件为中心的 IDE，用于云中基于科学的性能工程

• 批准号: 1533644
• 负责人: Charles Leiserson
• 金额: $ 75万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1533644&HistoricalAwards=false
• 关键词: XPS; FULL; FP; profile; centric

Scientists developing compute-intensive multicore applications find it difficult to parallelize their code, a problem that is exacerbated if they wish to take maximum advantage of the potential provided by cloud computing. Part of the problem is that bad codes cause the generation of incorrect hypotheses while reading, writing, and debugging code, wasting time, energy, and resources. This research plans to meld advanced profiling methods for multithreaded programming with modern user-interface technology to produce a highly usable open-source integrated development environment (IDE) for the performance-engineering of multicore software applications in the cloud. The goal is to provide programmers with continuous profile data for scalability and other performance profiling relevant to parallel programming. They plan to embed an IDE into a profiling framework to produce a profile-centric IDE, continuously providing performance feedback so that developers can see and compare the results of recent runs of their program as they edit their code.The project has the potential to enable science-based performance engineering of multicore applications in the cloud. The vast majority of computer users, not just expert computer scientists, will be able to develop highly efficient parallel software applications, broadly impacting every computing application in every walk of life. The software produced by this project will be made freely available to anyone on the World Wide Web using a liberal open-source license.

开发计算密集型多核心应用程序的科学家发现很难平行于其代码，如果他们希望最大程度地利用云计算提供的潜力，这将加剧。 问题的一部分是，不良代码会导致在阅读，写作和调试代码，浪费时间，精力和资源时产生错误的假设。 这项研究计划与现代用户界面技术融合了多线程编程的高级分析方法，以生成高度可用的开源集成开发环境（IDE），用于在云中的多项软件应用程序的性能工程。 目标是为程序员提供连续的配置数据数据，以进行可伸缩性和与并行编程相关的其他性能分析。 他们计划将IDE嵌入分析框架中，以生成以配置文件为中心的IDE，不断提供性能反馈，以便开发人员可以在编辑代码时看到并比较其程序的最新运行结果。该项目有可能使基于科学的绩效工程在云中基于科学的性能工程。 绝大多数计算机用户，不仅是专家计算机科学家，都将能够开发高效的并行软件应用程序，从而广泛影响各行各业的每个计算应用程序。 该项目生产的软件将通过自由开源许可免费提供给万维网上的任何人。