RUI: Parallel Computing Laboratory for Undergraduates

RUI：本科生并行计算实验室

• 批准号: 8851730
• 负责人: Chester Grosch
• 金额: $ 10万
• 依托单位: Old Dominion University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-04-15 至 1991-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8851730&HistoricalAwards=false
• 关键词: RUI; Parallel; Computing; Laboratory; Undergraduates

Old Dominion University believes that their curriculum is deficient in that undergraduate students in Science and Engineering are not educated in the theory and practice of high performance vector/parallel computing. They believe that there is a pressing need for this kind of education at the undergraduate level in view of growing importance of large scale computing in Science and Engineering and the proliferation of supercomputers. This project is intended to introduce Senior students in the Science and Engineering to the theory and practice of high performance vector and parallel computing. This will be centered around a laboratory where each student will obtain hands-on experience in programming vector and parallel computers, both SIMD and MIMD. The students will measure the performance of the program and compare it to the prediction obtained form simple complexity analysis. The emphasis will be on the analysis and implementation of a few representative examples chosen from computational problems in Science and Engineering, of course tailored to the capabilities of undergraduates.

老道明大学认为，他们的课程有缺陷，因为理工科本科生没有接受高性能向量/并行计算的理论和实践方面的教育。他们认为，鉴于大规模计算在科学和工程中的重要性日益增长，以及超级计算机的激增，在本科生水平上迫切需要这种教育。本项目旨在向理工科高年级学生介绍高性能向量和并行计算的理论和实践。这将以一个实验室为中心，在那里每个学生都将获得编程向量和并行计算机的实践经验，包括SIMD和MIMD。学生将测量程序的性能，并将其与通过简单复杂性分析得到的预测进行比较。重点将放在从科学与工程计算问题中选择的几个有代表性的例子的分析和实施上，当然，这些例子是根据本科生的能力量身定做的。