MDC: A Numerical Laboratory for Multi-Model Multi-Domain Computational Methods in Aerodynamics and Acoustics

该项目将开发公共使用软件来实现领域分解的两个重要范例：中粒度数据分解和粗粒度任务分解。此外，它将加强任务分解理论涉及两个具体的应用涉及多个物理，空气动力学和物理学。它将尝试验证两种范式背后的理论，并开发结合两者优势的软件。多模型耦合场问题的有效多域并行解决方案将具有广泛的用途，特别是在越来越强调多学科分析和优化的情况下。当前多学科优化的先驱们发现有必要重新审视组成建模层次结构的较低层次。由于复杂性和严重的病态，同时将优化循环内部使用的所有低级模型升级到各个学科中最先进的复杂模型是不现实的。这为该提案的可交付成果创造了一个明显的利基——内置支持多模型分析的高性能求解器。

9527169 Keyes This project will develop public use software to implement two important paradigms for domain decomposition: medium-grained data decomposition and course-grained task decomposition. In addition, it will enhance the theory of task decomposition with respect to two specific applications involving multiple physics, aerodynamics and physics. It will attempt to verify the theory behind the two paradigms, and the develop software which combines the strength of both. Effective multi-domain parallel solutions to multi-model coupled field problems will have widespread usefulness, particularly in light of the growing emphasis on multidisciplinary analysis and optimization. The current pioneers of multidisciplinary optimization are finding it necessary to revisit the lower levels of the constituent modeling hierarchies. It is not practical to simultaneously upgrade all of the low-level models employed inside of optimization loops to the complex models used in the state-of -the-art of the individual disciplines, for reasons of complexity and severe ill-conditioning. This creates an obvious niche for the deliverables of this proposal - highly performant solvers with built-in support for multi-model analysis.