Collaborative Research: SI2-SSI: Open Source Support for Massively Parallel, Generic Finite Element Methods

合作研究：SI2-SSI：对大规模并行、通用有限元方法的开源支持

• 批准号: 1741870
• 负责人: Wolfgang Bangerth
• 金额: $ 39.37万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1741870&HistoricalAwards=false
• 关键词: Collaborative; Research; SI2; SSI; Open

Partial differential equations are used in a wide variety of applications asmathematical models. Their numerical solution is, consequently, of primeimportance for the accurate simulation and optimization of processes in thesciences, engineering, and beyond.The last decade saw the emergence of large and successful libraries thatsupport such applications. While these libraries provide most of what suchcodes need for small-scale computations, many realistic applications yieldproblems of hundreds of millions or billions of unknowns and require clusterswith thousands of processor cores, but there is currently little genericsupport for such problems, limiting access to the many large publiclysupported computing facilities to experts in computational science andexcluding scientists from many fields for whom computational simulation wouldbe a useful tool. This project intends to build the software infrastructure that will allow awide cross section of scientists to utilize these large resources.This project intends to support the software infrastructure for thelarge-scale solution of partial differential equations on massively parallelcomputational resources in a generic way. It will build on two of the mostsuccessful libraries for scientific computing, the finite element librarydeal.II, and Trilinos that provides the parallel linear algebra capabilitiesfor the former. Specifically, we will: (i) Make support for massively parallelcomputations ubiquitous in deal.II; (ii) Research and develop seamless supportfor problems with billions of unknowns in both libraries and improve theinteraction between the two; (iii) Exploit intra-node parallelism on today'sclusters; (iv) Ensure the applicability of our work on a broad basis byimplementing two real-world applications. Both deal.II and Trilinos have large, active and diverse developer and usercommunities, and this project will actively engage these communities throughuser meetings, short courses, regularly taught classes, mailing lists, anddirect contact in focused projects.

偏微分方程作为数学模型被广泛应用.因此，它们的数值解对于科学、工程及其他领域的过程的精确模拟和优化至关重要。过去十年出现了支持这些应用的大型成功库。虽然这些库提供了小规模计算所需的大部分代码，但许多现实的应用程序会产生数亿或数十亿未知数的问题，并需要具有数千个处理器核心的集群，但目前很少有对此类问题的通用支持，限制计算科学专家使用许多大型公共支持的计算设施，会是个有用的工具 该项目旨在建立一个软件基础设施，使广泛的科学家能够利用这些大型资源。该项目旨在以通用的方式支持大规模并行计算资源上的偏微分方程的大规模解决方案的软件基础设施。它将建立在两个最成功的科学计算库，有限元库deal.II和Trilinos，前者提供并行线性代数功能。具体而言，我们将：（i）在deal.II中支持无处不在的大规模并行计算;（ii）研究和开发对两个库中数十亿未知问题的无缝支持，并改善两者之间的交互;（iii）在今天的集群上利用节点内并行性;（iv）通过实现两个真实世界的应用程序，确保我们工作的广泛适用性。Deal.II和Trilinos都拥有庞大、活跃和多样化的开发人员和用户社区，该项目将通过用户会议、短期课程、定期授课、邮件列表和直接联系重点项目来积极参与这些社区。