A Virtual Workshop on Applications of Parallel Computing in Science and Engineering

并行计算在科学与工程中的应用虚拟研讨会

• 批准号: 1650912
• 负责人: Steven Gordon
• 金额: $ 4.95万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1650912&HistoricalAwards=false
• 关键词: Virtual; Workshop; Applications; Parallel; Computing

This project focuses on the evaluation and removal of barriers to incorporating parallel computing applications into the science and engineering curricula at U.S. universities. Large scale modeling and data analysis using parallel programming techniques has become an essential part of the research and development process in the physical, biological, and social sciences and engineering. Our workforce must be knowledgeable of these techniques to address challenging problems in science, to explore potential approaches to the treatment of diseases, to make U.S. industry competitive in the global marketplace, and to secure the national defense. The workshops will prepare students to contribute to these critical undertakings. It will also create a mechanism for the collaborating faculty to offer the course at their institutions and provide important insights into the current barriers to incorporating this content into their curricula. Thus, the project aligns with the NSF's mission in advancing science. The project will sponsor two virtual workshops during the spring semesters of 2017 and 2018 using a set of course materials for the blended, online course Applications of Parallel Computers. The target audience is a wide range of students from the sciences and engineering who need a working knowledge of parallel computing principles that must be integrated into current research efforts. Faculty at collaborating institutions will create a local course number to offer the course for credit to their students. The students will then watch recorded lectures, undertake quizzes, and complete computer exercises for the course using the online materials and XSEDE computational resources. There are barriers to this computational science instruction at many institutions because of limitation of faculty expertise, faculty workloads, and the interdisciplinary nature of the subject materials. The workshops will help to evaluate the potential for this approach to expand the opportunities for faculty and students to gain this expertise.

该项目的重点是评估和消除将并行计算应用程序纳入美国大学科学和工程课程的障碍。 使用并行编程技术进行大规模建模和数据分析已成为物理、生物和社会科学及工程领域研究和开发过程的重要组成部分。 我们的劳动力必须了解这些技术，以解决科学中具有挑战性的问题，探索治疗疾病的潜在方法，使美国工业在全球市场上具有竞争力，并确保国防。 这些讲习班将帮助学生为这些重要事业做出贡献。 它还将建立一个机制，让合作教师在他们的机构提供课程，并提供重要的见解，目前的障碍，将这一内容纳入他们的课程。 因此，该项目与NSF推进科学的使命相一致。该项目将在2017年和2018年春季学期赞助两个虚拟研讨会，使用一套混合在线课程并行计算机应用的课程材料。 目标受众是来自科学和工程领域的广泛学生，他们需要并行计算原理的工作知识，这些知识必须融入当前的研究工作。 合作机构的教师将创建一个本地课程编号，为学生提供学分。 然后，学生将观看录制的讲座，进行测验，并使用在线材料和XSEDE计算资源完成课程的计算机练习。 由于教师专业知识、教师工作量和学科材料的跨学科性质的限制，许多机构的计算科学教学存在障碍。 研讨会将有助于评估这种方法的潜力，以扩大教师和学生获得这种专业知识的机会。