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SI2-SSE: An Interactive Parallelization Tool

SI2-SSE：交互式并行化工具

基本信息

批准号：
1642396
负责人：
Ritu Arora
金额：
$ 46.33万
依托单位：
University of Texas at Austin
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-11-01 至 2019-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1642396&HistoricalAwards=false
关键词：
SI2 SSE Interactive Parallelization Tool

项目摘要

Many scientists, engineers, and students use the programming languages C, C++, and Fortran. Scientists who use these languages to conduct their experiments set up their programs to run in sequence -- what computer scientists call "serial processing." In order to make the best use of the state-of-the-art High Performance Computing (HPC) platforms to run more efficient experiments or to run very large simulations, the programs written in these languages need to be able to run simultaneously, what computer scientists call "in parallel" as distinct from "serial". Enabling the parallelization of the applications and software, however, remains a challenge. This project proposes deployment of an Interactive Parallelization Tool (IPT), which helps scientists, engineers, and students build on their customary use of C/C++/Fortran to create more efficient programs that can run on advanced HPC platforms. The IPT will be made available to the community through a web-portal for convenient code generation and testing on computational resources of the national cyberinfrastructure (CI). The team has developed a prototype IPT to parallelize multiple design patterns written in C/C++ at a high-level of abstraction. The proposed project will harden the IPT prototype into a production-quality tool and will extend support for the efficient parallelization of additional types of C/C++ applications. The team will also prototype the parallelization of Fortran applications. Carefully selected test cases will be provided with the IPT to engage and educate the users about the advantages and disadvantages of the various parallel programming strategies so that they can be appropriately applied in solving real-world problems. The IPT can be extended to support additional parallel programming paradigms, applications classes, and languages. It will be evaluated using code from multiple domains (e.g. biology, geosciences, civil engineering, and astronomy), and potential users will be engaged during the testing phase. This will all be served through a web-based portal, and will enable a low-risk guided approach for researchers, practitioners, and students to incorporate HPC in their work.

许多科学家、工程师和学生使用C、C++和Fortran编程语言。使用这些语言进行实验的科学家将他们的程序设置为按顺序运行--即计算机科学家所说的“串行处理”。为了最大限度地利用最先进的高性能计算(HPC)平台来运行更高效的实验或运行非常大的模拟，用这些语言编写的程序需要能够同时运行，计算机科学家将其称为“并行”，区别于“串行”。然而，实现应用程序和软件的并行化仍然是一项挑战。该项目建议部署交互式并行化工具(IPT)，帮助科学家、工程师和学生在他们习惯使用的C/C++/Fortran的基础上创建可以在高级HPC平台上运行的更高效的程序。互联网技术将通过一个门户网站向社区提供，以方便代码生成和测试国家网络基础设施(CI)的计算资源。该团队已经开发了一个原型IPT，以在高抽象级别并行处理用C/C++编写的多个设计模式。拟议的项目将把IPT原型强化为生产质量的工具，并将扩展对其他类型的C/C++应用程序的高效并行化的支持。该团队还将制作Fortran应用程序并行化的原型。精心挑选的测试用例将与IPT一起提供，以使用户了解各种并行编程策略的优缺点，以便它们能够适当地应用于解决现实世界的问题。可以对IPT进行扩展，以支持其他并行编程范例、应用程序类和语言。它将使用来自多个领域(如生物学、地球科学、土木工程和天文学)的代码进行评估，潜在用户将在测试阶段参与进来。这一切都将通过基于Web的门户提供服务，并将为研究人员、从业者和学生提供一种低风险的指导方法，以便将HPC纳入他们的工作。