SI2-SSE: An Interactive Parallelization Tool

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按顺序运行——计算机科学家称之为“串行处理”。为了充分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，计算机科学家称之为“并行”，与“串行”不同。然而，实现应用程序和软件的并行化仍然是一个挑战。这个项目提出了一个交互式并行化工具（IPT）的部署，它可以帮助科学家、工程师和学生在他们习惯使用的C/ c++ /Fortran的基础上创建更高效的程序，这些程序可以在先进的HPC平台上运行。IPT将通过一个门户网站提供给社区，方便对国家网络基础设施（CI）的计算资源进行代码生成和测试。该团队已经开发了一个原型IPT，以在抽象的高层上并行化用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++应用程序的有效并行化的支持。该团队还将开发Fortran应用程序的并行化原型。IPT将提供精心挑选的测试用例，让用户了解各种并行编程策略的优点和缺点，以便将它们适当地应用于解决实际问题。可以扩展IPT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（例如生物学、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其中。这一切都将通过一个基于网络的门户网站提供，并将为研究人员、从业人员和学生提供一种低风险的指导方法，使他们能够将HPC纳入他们的工作中。

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.