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CISE Research Infrastructure: Systems Science for Physical Geometric Algorithms

CISE Research Infrastructure: Systems Science for Physical Geometric Algorithms
CISE 研究基础设施:物理几何算法的系统科学
批准号:
9802068
负责人:
David Kotz
金额:
$136.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-10-01 至 2004-09-30

项目摘要

项目成果

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中文摘要
翻译
EIA-9802068 Nicol,大卫M.达特茅斯学院CISE研究基础设施:系统科学的物理几何算法研究(PGA)研究计算或推理物理世界中的几何或空间关系的计算过程,以及它们在各种应用领域的实现。这些领域包括机器人,微机电系统(MEMS),计算生物学,科学和图像处理,图像分析和系统仿真。 总的来说,这些技术承担了与操纵与物理系统模型相关联的大量数据相关联的问题。 PGA的研究追求这样的命题,对于这样的系统,行为的预测,正确性的参数,和组合精度转移到几何分析。在有趣的尺度上,这些领域有共同的网络,远程数据库,局域集群,磁盘农场(本地和远程),并行处理和图形开发。该项目将开发新的系统科学技术(特别是算法、分析、建模技术和方法),用于解决延迟、带宽、安全性、可伸缩性、调度、访问中的时间变化,平行高-这项拨款所提供的许褚,使我们的应用研究小组和系统研究小组能够协同发展共同的系统解决方案,性能问题,并在应用程序和系统问题领域设定新的方向。
英文摘要
EIA-9802068Nicol, David M. Dartmouth CollegeCISE Research Infrastructure: Systems Science for Physical Geometric AlgorithmsResearch in Physical Geometric Algorithms (PGA) studies computational processes that compute or reason about geometric or spatial relationships in the physical world, and their realization in a variety of application areas. These areas include Robotics, Microelectromechanical Systems (MEMS), Computational Biology, Scientific and Image Processing, Image Analysis, and Systems Simulation. Collectively, these techniques take on the problems associated with manipulating massive amounts of data associated with a physical system model. Research in PGA pursues the proposition that, for such systems, predictions of behavior, arguments of correctness, and combinatorial precision devolve to a geometric analysis. At interesting scales these areas have in common their exploitation of networks, remote databases, local area clusters, disk farms (both local and remote), parallel processing, and graphics. This project will develop new Systems Science techniques (particularly algorithms, analysis, modeling techniques, and methodology) for addressing latency, bandwidth, security, scalability, scheduling, temporal variation in access, and parallel high-performance computing for these applications.The equipment provided by this grant enables our application research groups and systems research groups to synergistically develop common system solutions to these critical performance issues, as well as set new directions in both applications and systems problem areas.
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