U.S.-Egypt Cooperative Research: High Performance Techniques for Remote Sensing

美国-埃及合作研究：高性能遥感技术

• 批准号: 0710900
• 负责人: Reda Ammar
• 金额: --
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0710900&HistoricalAwards=false
• 关键词: U.S.; Egypt; Cooperative; Research; Performance

0710900RajasekaranDescription: This project supports collaborative research by Dr. Sanguthevar Rajasekaran, Department of Computer Science and Engineering, University of Connecticut at Storrs, Connecticut. The collaborating Egyptian scientist is Dr. Salwa Nassar, Electronics Research Institute, Cairo, Egypt. They plan a study of high performance techniques for remote sensing. Remote sensing is of great importance in varied domains such as homeland security and climate studies. Remote sensing problems often deal with voluminous datasets whose processing demands high computational run times that may not be acceptable. One way of achieving acceptable run times (preferably real-time performance) is with the help of high-performance techniques. General purpose parallel compilers may not be of much help because of the complex nature of the problems involved. The PIs plan to address this gap in the understanding of high-performance remote sensing. In particular, they plan to develop high-performance algorithms for solving fundamental problems in remote sensing such as imagoedesy, image segmentation and development of reflectance models. Three ways of achieving parallelism will be considered: using supercomputers, employing local clusters, and utilizing grid computing. Contributions will be made on the fundamental aspects including the development of algorithms, scheduling, and software performance analysis. An equal emphasis will also be placed in implementing the developed algorithms to solve specific problems in remote sensing.Intellectual Merits: The role of high-performance computing in solving remote sensing problems will be brought out. The research problems addressed in this project need complementary sets of expertise. The proposed international group will serve as a viable model that can be emulated by others in future. Students trained in this project will be able to setup collaborations of this kind in their career.Broader Impacts: Over the past three decades, the area of algorithms has produced excellent research and clever algorithms and has solved numerous fundamental problems. Yet the full impact of these advances is not as widely felt since the transmission mechanism to real world applications has been unsystematic at best. In this project, the focus is on the transmission of algorithmic advances to remote sensing application areas that are of vital importance to Egypt and the US and also to the world at large. Research outcomes of this project will greatly benefit industries and educational institutes in these countries. Students trained will acquire unique skills and expertise in the aspects of collaborations. Developments made will impact the practice in the short run. Thus the outcomes of this project can impact the society in the near future, in areas such as in accurate weather forecasting. This project is being supported under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to carry out these cooperative activities.

0710900 Rajasekaran描述：该项目支持康涅狄格大学斯托尔斯计算机科学与工程系Sanguthevar Rajasekaran博士的合作研究。合作的埃及科学家是埃及开罗电子研究所的Salwa Nassar博士。 他们计划研究高性能遥感技术。 遥感在国土安全和气候研究等各个领域都具有重要意义。遥感问题往往涉及大量的数据集，其处理需要高的计算运行时间，这可能是不可接受的。实现可接受的运行时间（最好是实时性能）的一种方法是借助高性能技术。通用的并行编译器可能没有太大的帮助，因为涉及的问题的复杂性。PI计划解决在理解高性能遥感方面的这一差距。 特别是，他们计划开发高性能的算法，以解决遥感中的基本问题，如imagoedesy，图像分割和反射模型的开发。实现并行的三种方法将被考虑：使用超级计算机，采用本地集群，并利用网格计算。贡献将作出的基本方面，包括算法，调度和软件性能分析的发展。同样重视实施开发的算法来解决遥感中的特定问题。智力优点：将展示高性能计算在解决遥感问题中的作用。在这个项目中解决的研究问题需要互补的专业知识。拟议的国际小组将成为今后其他国家可以仿效的可行模式。在这个项目中接受培训的学生将能够在他们的职业生涯中建立这种合作。更广泛的影响：在过去的三十年里，算法领域产生了优秀的研究和聪明的算法，并解决了许多基本问题。然而，这些进步的全面影响并没有被广泛感受到，因为向真实的世界应用的传递机制充其量是不系统的。在这个项目中，重点是将算法进步传输到对埃及和美国以及整个世界至关重要的遥感应用领域。 该项目的研究成果将大大有利于这些国家的工业和教育机构。接受培训的学生将获得合作方面的独特技能和专业知识。所取得的进展将在短期内影响这一做法。因此，该项目的成果可以在不久的将来在准确的天气预报等领域影响社会。该项目得到了美国-埃及联合基金方案的支持，该方案向两国的科学家和工程师提供赠款，以开展这些合作活动。