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U.S.-France (INRIA) Cooperative Research: Numerial Solution of High Speed Network Models

U.S.-France (INRIA) Cooperative Research: Numerial Solution of High Speed Network Models
美法(INRIA)合作研究:高速网络模型的数值解
批准号:
9600422
负责人:
Yousef Saad
金额:
$3.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-01 至 1999-08-31

项目摘要

项目成果

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中文摘要
翻译
这一为期三年的奖项支持美法在数值计算方面与法国国家计算机科学和应用数学研究所(INRIA)的合作研究。美国调查人员是明尼苏达大学的Ahmed Sameh和Yousef Saad,北卡罗来纳州立大学的Harry Perros和William J.Stewart;法国调查人员是Brigitte Platform,INRIA(罗纳/阿尔卑斯),Bernard Philippe,INRIA(Rennes),以及格勒诺布尔大学的Denis Trystram。他们的研究目标是评估高速通信网络关键方面的性能。他们建议评估随机自动机网络(SANS)作为分析电信系统和开发和部署高速网络的建模技术的有效性。他们将该方法应用于高速网络建模的一个方面,即高速复用器中分组延迟和丢失的性能分析。开发该多路复用器是为了在集成多媒体业务方面提供灵活性。美国调查人员为这一合作带来了数值建模、网络和并行处理方面的专业知识。这是由法国调查人员在随机自动机网络方面的专业知识完成的。在过去的十年里,他们发展了基于SAN的理论。该项目将促进我们对SAN及其在模拟高速通信网络性能方面的有效性的理解。
英文摘要
This three-year award supports U.S.-France cooperative research in numeric computation with the French National Institute for Research in Computer Science and Applied Mathematics (INRIA). The U.S. investigators are Ahmed Sameh and Yousef Saad from the University of Minnesota, Harry Perros and William J. Stewart from North Carolina State University; and the French investigators are Brigitte Plateau, INRIA (Rhone/Alpes), Bernard Philippe, INRIA (Rennes), and Denis Trystram, University of Grenoble. The objective of their research is to evaluate the performance of crucial aspects of high-speed communication networks. They propose to evaluate the effectiveness of Stochastic Automata Networks (SANs) as a modeling technology for the analysis of telecommunications systems and development and deployment of high-speed networks. They will apply the approach to one aspect of modeling high-speed networks, namely performance analysis of packet delay and loss in a high-speed multiplexer. This multiplexer has been developed to provide flexibility in integrating multi-media traffic. The U.S. investigators bring to this collaboration expertise in numerical modeling, networking, and parallel processing. This is completed by the French investigators' expertise in Stochastic Automata Networks. Over the last decade, they developed the theory underlying SANs. The project will advance our understanding of SANs and their effectiveness in modeling performance of high-speed communication networks.
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Collaborative Research: Robust Acceleration and Preconditioning Methods for Data-Related Applications: Theory and Practice
  • 批准号:
    2208456
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2022
  • 负责人:
    Yousef Saad
  • 依托单位:
Multilevel Graph-Based Methods for Efficient Data Exploration
  • 批准号:
    2011324
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.42万
  • 财政年份:
    2020
  • 负责人:
    Yousef Saad
  • 依托单位:
Advances in Robust Multilevel Preconditioning Methods for Sparse Linear Systems
  • 批准号:
    1912048
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2019
  • 负责人:
    Yousef Saad
  • 依托单位:
AF: Small: Collaborative Research: Effective Numerical Algorithms and Software for Nonlinear Eigenvalue Problems
  • 批准号:
    1812695
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.9万
  • 财政年份:
    2018
  • 负责人:
    Yousef Saad
  • 依托单位:
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