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

这个项目的重点是评估和消除将并行计算应用纳入美国大学科学和工程课程的障碍。使用并行编程技术的大规模建模和数据分析已经成为物理、生物、社会科学和工程研究和开发过程的重要组成部分。我们的工作人员必须了解这些技术，以解决科学中的挑战性问题，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，并确保国防安全。这些讲习班将使学生为这些重要事业作出贡献。它还将为合作教师创建一种机制，让他们在自己的机构提供课程，并提供重要的见解，了解目前将这些内容纳入课程的障碍。因此，该项目与美国国家科学基金会推进科学的使命是一致的。该项目将在2017年和2018年春季学期赞助两次虚拟研讨会，使用一套混合在线课程“并行计算机应用”的课程材料。目标读者是来自科学和工程专业的学生，他们需要并行计算原理的工作知识，这些知识必须集成到当前的研究工作中。合作院校的教师将创建一个本地课程编号，为学生提供课程学分。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。由于教师专业知识的限制、教师工作量的限制以及学科材料的跨学科性质，许多机构对这种计算科学教学存在障碍。这些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。

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.