US Participation at the Twenty-sixth International Domain Decomposition Conference

自1987年以来，域分解方法国际会议（DDM）已在亚洲、欧洲和北美的15个国家举行。第27届会议将于2022年7月25日至29日在捷克共和国布拉格的捷克技术大学举行。会议的主要议题涉及大规模科学计算问题，这是一个重要且非常普遍的跨学科研究领域，在许多应用领域发挥着至关重要的作用，例如天气预报、地震预测、流体模拟、材料工业、油田勘探、医学成像等。该项目将使美国的初级研究人员能够前往会议，建立网络并展示他们的研究。领域分解方法国际会议是唯一定期举行的国际论坛，致力于在领域分解方法的开发、分析、软件实现和应用方面工作的理论家和实践者之间的跨学科技术互动，这在科学计算中很重要。这类问题的复杂性和规模往往导致非常大的系统，其中必须使用大量的计算资源和特殊的计算方法来获得近似解。当我们接近百亿亿次计算的曙光时，像DDM这样的可扩展技术是解决复杂问题的重要工具，否则这些问题将是难以解决的。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Since 1987, the International Conferences of Domain Decomposition Methods (DDM) have been held in 15 countries throughout Asia, Europe and North America. The 27th edition of this prestigious conference will be held at the Czech Technical University in Prague, Czech Republic, on July 25-29, 2022. The primary topic of the conference concerns large scale scientific computing problems, which are an important and very general interdisciplinary research field and plays a crucial role in many application areas, for example weather forecast, seismic predictions, fluid simulations, material industry, oil field exploration, medical imaging, among others. This project will enable US based junior researchers to travel to the conference, network, and present their research.The International Conference of Domain Decomposition Methods is the only regularly occurring international forum dedicated to interdisciplinary technical interactions between theoreticians and practitioners working in the development, analysis, software implementation, and application of domain decomposition methods, which are important in scientific computing. The complexity and size of such problems often lead to very large systems, where massive computing resources and special computational approaches must be employed to obtain approximate solutions. As we approach the dawn of exascale computing, scalable techniques such as DDM are vital tools for solving complex problems that would otherwise be intractable.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.