Early Career Support for the Householder XVII Symposium

为住户 XVII 研讨会提供早期职业支持

• 批准号: 0752905
• 负责人: Charles Van Loan
• 金额: $ 2万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0752905&HistoricalAwards=false
• 关键词: Early; Career; Support; Householder; XVII

Financial support is provided for the participation of USA-based early career scientists and PhD students at the Householder Symposium XVII on Numerical Linear Algebra. The Symposium is to be held in June 1-6, 2008 in Zeuthen, Germany. Matrix computations, a central topic in numerical linear algebra, plays a central role in scientific computing and is at the heart of many numerical procedures for partial differential equations and optimization. More recently, matrix methods have found their way in computational biology and a host of information science applications. The Householder symposia contribute to the vibrancy of this field by bringing together scholars from all over the world, both young and old, for five days of informal research exchanges. Multicore technologies have placed a premium on methods that scale and so it is no surprise that model reduction, low rank tensor approximation, and data compression, will be recurring themes at the Symposium. Matrix dimensions are so large in certain applications that radically new approaches are required,e.g., matrix factorizations that are based on sampling and data structuresthat match multilevel memory systems. Attendees of Householder XVII will exit the meeting with a sharpened sense of ``large n'' matrix computations. There are several reasons why the Symposium is a particularly effective vehicle for ``jump starting'' the careers of its young attendees. There is an emphasis on ongoing research and an invitation process that proactively favors budding researchers. There is a deliberate attempt to build a communal sense of where the field is headed through specific ``forward thinking'', open microphone, panel discussions. Because it is the premier conference in the area, the Symposium attracts the top senior researchers from around the world; it is a ``must attend'' event. The intermingling of established researchers with the fresh PhDs is guaranteed because the conference is modest in size (about 150) and everyone who attends gives a talk. Enabling USA-based early career scientists to attend the Householder Symposium on Numerical Linear Algebra ensures the well being of a field that is critical to American Science and Engineering. Consistent with the goal of broadening participation in computational science.

为在美国从事早期工作的科学家和博士生参加第17届关于数值线性代数的住户研讨会提供了财政支持。研讨会将于2008年6月1日至6日在德国佐滕举行。矩阵计算是数值线性代数中的一个中心问题，在科学计算中起着核心作用，是偏微分方程组和最优化的许多数值过程的核心。最近，矩阵方法在计算生物学和许多信息科学应用中找到了自己的方式。房主研讨会将来自世界各地的学者，无论老少，聚集在一起，进行为期五天的非正式研究交流，为这一领域的活力做出了贡献。多核技术重视可扩展的方法，因此，模型简化、低阶张量近似和数据压缩将是研讨会上反复出现的主题也就不足为奇了。在某些应用中，矩阵维度如此之大，以至于需要全新的方法，例如，基于与多级存储系统匹配的采样和数据结构的矩阵分解。第十七届房主大会的与会者将带着一种敏锐的“大n”矩阵计算感觉离开会议。研讨会是“启动”年轻与会者职业生涯的一种特别有效的工具，原因有几个。重点是正在进行的研究和主动支持初出茅庐的研究人员的邀请过程。有人刻意试图通过具体的“前瞻性思维”、开放的麦克风、小组讨论，建立一种关于该领域未来走向的共同意识。由于这是该地区的首要会议，研讨会吸引了来自世界各地的顶级高级研究人员；这是一项“必须参加”的活动。由于会议规模不大(约150人)，而且每个参加会议的人都会发表演讲，因此老牌研究人员和新博士的混合是有保证的。使美国的早期职业科学家能够参加豪斯霍尔德数值线性代数研讨会，确保了这个对美国科学和工程至关重要的领域的发展。与扩大计算科学参与度的目标一致。