Exploring the Role of Coarray Fortran for Highly Parallel Structured Adaptive Mesh Refinement Calculations

探索 Coarray Fortran 在高度并行结构化自适应网格细化计算中的作用

• 批准号: 1307369
• 负责人: Dinshaw Balsara
• 金额: $ 30.68万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1307369&HistoricalAwards=false
• 关键词: Exploring; Role; Coarray; Fortran; Highly

Parallel Adaptive Mesh Refinement (AMR) calculations carried out on structured meshes play an exceedingly important role in several areas of science and engineering. Software and hardware infrastructure, and the computational capabilities they enable, go hand in hand. Innovations in software infrastructure simplify once-difficult computational problems. The first goal of this proposal is to capitalize on one such recent innovation (Coarray Fortran, henceforth CAF) in facilitating seamless implementation of parallel AMR. The project further wishes to make CAF-based AMR ready for PetaScale computations on NSF?s high-end supercomputers. Its second goal is to develop a highly parallel CAF-based AMR framework for solving elliptic, parabolic and hyperbolic PDEs. The result of this exploratory proposal will be a small, capable and light-weight framework for PetaScale class AMR applications.The lead PI is writing a textbook on "Numerical PDEs for Scientists and Engineers" and several of the applications from the text will be made available in this AMR framework. Along with the text, he has developed a website that freely disseminates polished lectures on PDEs to anyone over the web -- http://www.nd.edu/~dbalsara/Numerical-PDE-Course . The Co-PI is working with the original inventor of CAF to write a book on "Parallel Programming in Fortran with Coarrays". Both the textbook-writing efforts, as well as the associated website development, will greatly enhance the educational resources available to advanced undergraduates and graduates in STEM disciplines.

在结构化网格上进行的并行自适应网格细化 (AMR) 计算在科学和工程的多个领域中发挥着极其重要的作用。软件和硬件基础设施以及它们所支持的计算能力是齐头并进的。软件基础设施的创新简化了曾经困难的计算问题。该提案的第一个目标是利用此类最新创新（Coarray Fortran，以下简称 CAF）来促进并行 AMR 的无缝实施。该项目还希望使基于 CAF 的 AMR 为 NSF 高端超级计算机上的 PetaScale 计算做好准备。其第二个目标是开发一个高度并行的基于 CAF 的 AMR 框架，用于求解椭圆、抛物线和双曲偏微分方程。这个探索性提案的结果将是一个小型、功能强大且轻量级的用于 PetaScale 级 AMR 应用程序的框架。首席 PI 正在编写一本关于“科学家和工程师的数值偏微分方程”的教科书，并且该文本中的一些应用程序将被制作在此 AMR 框架中可用。除了文本之外，他还开发了一个网站，可以通过网络向任何人免费传播有关偏微分方程的精美讲座 - http://www.nd.edu/~dbalsara/Numerical-PDE-Course 。 Co-PI 正在与 CAF 的原始发明者合作撰写一本关于“Fortran 中使用 Coarrays 的并行编程”的书。教科书的编写工作以及相关网站的开发都将极大地增强 STEM 学科高年级本科生和研究生的教育资源。