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US Participation at the Twenty-sixth International Domain Decomposition Conference

US Participation at the Twenty-sixth International Domain Decomposition Conference
美国参加第二十六届国际域名分解会议
批准号:
2216799
负责人:
Jonathan Siegel
金额:
$1.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-01 至 2024-01-31

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中文摘要
翻译
自1987年以来,区域分解方法(DDM)国际会议已在亚洲,欧洲和北美的15个国家举行。第27届著名会议将于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,这是一个重要的和非常普遍的跨学科研究领域,并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。这个项目将使美国的初级研究人员前往会议,网络,并介绍他们的研究。区域分解方法国际会议是唯一定期举行的国际论坛,致力于跨学科的技术互动的理论家和实践者之间的工作,在开发,分析,软件实现和区域分解方法,这是在科学计算中的重要应用。此类问题的复杂性和规模通常会导致系统非常大,必须使用大量计算资源和特殊计算方法来获得近似解。随着我们接近亿亿次计算的曙光,DDM等可扩展技术是解决复杂问题的重要工具,否则这些问题将难以解决。该奖项反映了NSF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。
英文摘要
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.
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会议论文
Comparative Study of Finite Element and Neural Network Discretizations for Partial Differential Equations
  • 批准号:
    2424305
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $55.0万
  • 财政年份:
    2024
  • 负责人:
    Jonathan Siegel
  • 依托单位:
Comparative Study of Finite Element and Neural Network Discretizations for Partial Differential Equations
Synaptic Physiology in the Isolated Mammalian Cochlea
  • 批准号:
    9114245
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.36万
  • 财政年份:
    1991
  • 负责人:
    Jonathan Siegel
  • 依托单位:
Studies of Cochlear Hair Cell Synaptic Mechanisms
  • 批准号:
    8217273
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.2万
  • 财政年份:
    1983
  • 负责人:
    Jonathan Siegel
  • 依托单位:
海外基金