REU Site: EXERCISE - Explore Emerging Computing in Science and Engineering

REU 网站：EXERCISE - 探索科学与工程中的新兴计算

• 批准号: 1460900
• 负责人: Enyue Lu
• 金额: $ 36万
• 依托单位: Salisbury University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-15 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1460900&HistoricalAwards=false
• 关键词: REU; Site; EXERCISE; Explore; Emerging

This award renews the EXERCISE Research Experiences for Undergraduates (REU) Site at Salisbury University, Maryland. The intellectual focus of the site is research on emerging paradigms in parallel computing. The Principal Investigator, together with mentors, will supervise a 10-week REU program that gives a diverse cohort of students a taste of computational thinking in the domain of parallel computing and also an understanding of the graduate school experience. The projects cover a breadth of areas in parallel computing and the students will gain experience in all aspects of research. The emphasis on parallel computing is important particularly at a time when multicore and multiprocessor architectures are becoming ubiquitous and more and more applications are utilizing parallelism. To ensure diversity, students will be selected from within Salisbury University as well as from regional community colleges, University of Maryland Eastern Shore and other Historically Black Colleges and Universities. Because of the ubiquity of multicore and multiprocessor architectures, parallel computing has become an important area of research in computing science. However, parallel computing brings with it several challenges. There are fundamental difficulties in program semantics related to process interleaving: a parallel program can yield inconsistent answers, or even crash, due to unpredictable interactions between simultaneous tasks. Secondly, communication, memory access, and I/O overhead may result in run-time delays. Finally, it is difficult to ensure that programs consume resources in a manner that simultaneously achieves efficiency and meets performance goals. Based on the above challenges, the REU Site will focus on four aspects of parallel computing, namely, algorithms, software, architecture and applications. Students will work with faculty mentors in completing cutting-edge research projects to tackle data and compute intensive applications that emphasize the above four aspects. By the end of program, students will acquire valuable skills, gain a broader and deeper understanding of research, and develop greater confidence in their abilities. In particular, they will be exposed to emerging paradigms in parallel computing such as MapReduce and GPU computing, and will have opportunities to explore concurrent software and multiprocessor architectures, and design efficient parallel algorithms, and to tackle data and compute intensive problems in computer and social networks, image and signal processing, and geographic information systems.

该奖项更新了马里兰州索尔兹伯里大学本科生（REU）网站的练习研究经验。该网站的智力重点是研究并行计算的新兴范例。首席研究员，与导师一起，将监督一个为期10周的REU计划，让不同的学生群体在并行计算领域的计算思维的味道，也是研究生院的经验的理解。这些项目涵盖了并行计算的广泛领域，学生将获得研究各个方面的经验。在多核和多处理器体系结构变得无处不在，越来越多的应用程序正在利用并行性的时候，对并行计算的重视尤为重要。为了确保多样性，学生将从索尔兹伯里大学以及区域社区学院，马里兰州东海岸大学和其他历史悠久的黑人学院和大学中挑选。由于多核和多处理器体系结构的普遍存在，并行计算已经成为计算科学的一个重要研究领域。然而，并行计算带来了一些挑战。进程交错相关的程序语义存在根本性的困难：并行程序可能会产生不一致的答案，甚至崩溃，由于并发任务之间的不可预测的交互。其次，通信、内存访问和I/O开销可能导致运行时延迟。最后，很难确保程序以同时实现效率和满足性能目标的方式消耗资源。基于上述挑战，REU网站将专注于并行计算的四个方面，即算法，软件，架构和应用。学生将与教师导师一起完成尖端研究项目，以解决强调上述四个方面的数据和计算密集型应用程序。在课程结束时，学生将获得宝贵的技能，获得更广泛和更深入的研究理解，并对自己的能力产生更大的信心。特别是，他们将接触到并行计算的新兴范例，如MapReduce和GPU计算，并将有机会探索并发软件和多处理器架构，设计高效的并行算法，并解决计算机和社交网络，图像和信号处理以及地理信息系统中的数据和计算密集型问题。