Twentieth International Conference on Domain Decomposition Methods

该基金将为2011年2月在圣地亚哥加州大学圣地亚哥分校圣地亚哥超级计算机中心举行的第二十届区域分解方法国际会议提供部分资金支持。 域分解，在某种形式上，是迄今为止大规模并行分布式，分层存储器计算机上的大规模模拟最常见的范例。 这种模式渗透到几乎所有的仿真领域，从数值气候建模，复杂生物分子和生物过程的建模，汽车，飞机和其他结构的设计和测试，以及复杂多孔介质流动的建模等实际问题，到更抽象的科学努力，如黑洞建模和寻找宇宙的起源。 然而，许多区域分解的用户并没有利用已知的最复杂和有效的方法。 随着过去几年中大规模科学模拟社区的规模随着硬件的可用性而增长，这一点变得更加明显，特别是在与计算数学或计算机科学界没有传统紧密联系的科学界内部。本次会议的目标是通过鼓励整个国际计算科学领域的跨学科技术交流，促进区域分解方法的发展。科学和工程界，并利用会议选址的优势，吸引许多新的美国科学家到这一重要领域。 它与NSF的，更广泛地说，我们的国家优先事项，以促进和推进计算科学和工程的基础跨学科研究是紧密联系在一起的。NSF的资金将使研究生，博士后和其他年轻的研究人员有可能获得财政支持，否则他们可能无法参加。 这笔资金还将允许来自全国各地以及来自不同的南加州科学界的妇女、非洲裔美国人和西班牙裔美国人更多地参与。

This NSF award will provide partial financial support for the Twentieth International Conference on Domain Decomposition Methods, to be held at the San Diego Supercomputer Center on the campus of the University of California at San Diego, in February 2011. Domain decomposition, in some form, is by far the most common paradigm for large-scale simulation on massively parallel distributed, hierarchical memory computers. This paradigm permeates almost all arenas of simulation, from such practical concerns as numerical climate modeling, modeling of complex biological molecules and biological processes, the design and testing of automobiles, aircraft and other structures, and the modeling of complex porous media flows, to more abstract scientific endeavors such as modeling black holes and searching for the origins of the universe. However, many users of domain decomposition do not avail themselves of the most sophisticated and efficient methods known. This has become more pronounced as the size of the large-scale scientific simulation community has grown with the availability of hardware in the past few years, particularly inside scientific communities without traditionally strong ties to the computational mathematics or computer science communities.The goal of this conference is to promote advances in domain decomposition methods by encouraging interdisciplinary technical interchange throughout the international computational science and engineering communities, and by taking advantage of conference siting, to attract to this important area many new U.S. scientists. It is strongly aligned with NSF's, and more generally, our national priorities to promote and advance fundamental interdisciplinary research in Computational Science and Engineering.NSF funding will make possible financial support for graduate students, post-docs, and other young researchers who otherwise might not be able to attend. The funding will also allow for increasing participation of women, African Americans, and Hispanic Americans from across the nation as well as from the diverse Southern California scientific community.