REU Site: High Performance Computing in STEM Disciplines at South Dakota State University

第一部分：我们国家经济的健康取决于STEM劳动力的持续增长。高性能计算（HPC）的有效应用在越来越广泛的领域，包括工程、生物学、植物科学、生物化学和许多其他领域，都是一项越来越需要的技能。这个REU项目将通过培训学生在数学和统计、工程和生物科学中使用高性能计算来为代表性不足的学生提供从事STEM职业的机会。参与的本科生将从事前沿研究，学习高保真模型如何代表物理现象；如何在HPC中实现这些模型；以及如何分析、解释结果，并将其用于解决理论和应用问题。此外，各种个人、人际关系和领导技能（包括技术沟通、时间管理、网络和持续改进）将通过互补的动手/思考活动得到培养。该项目符合国家利益，正如NSF的使命所述：通过吸引本科生参与工程应用和计算领域的最新研究，促进科学进步；通过加强STEM劳动力，增加代表性不足的群体和退伍军人的参与，促进国家的健康、繁荣和福利。第二部分：这个REU项目的目标是提高学生的能力：1)使用HPC进行创新和有意义的研究，2)在跨学科的协作环境中独立学习和思考，3)以最大的诚信进行研究，4)为职业生涯做准备，5)攻读STEM项目的研究生学位。该项目每年将从规模较小的大学、部落学院和社区学院的一、二年级学生中招收10名学生，重点招收少数民族和传统上代表性不足的学生，以及退伍军人。这些学生将参加为期十周的暑期强化课程，并将与教师导师密切合作，研究项目涉及1)工程设计和分析背景下的模拟工具；2)最先进的工程应用和计算研究工具；3)基于真实数据集和仿真的统计分析；4)高性能计算中包括并行算法在内的先进数值方法。具体成果将包括学生撰写的期刊文章、会议记录和技术演示。项目的成功将由外部评估人员通过形成性和总结性评估、日常学生反思、学生面试和STEM研究生课程的学生入学来评估。

Part 1:The health of our nation's economy depends on the continued growth of a STEM workforce. The effective application of high performance computing (HPC) is a skill increasingly demanded in a widening variety of fields including engineering, biology, plant science, biochemistry, and many others. This REU program will equip underrepresented students to pursue STEM careers by training them to use HPC in mathematics and statistics, engineering, and biological sciences. Participating undergraduate students will engage in cutting-edge research to learn how high fidelity models represent physical phenomena; how these models are implemented within HPC; and how results are analyzed, interpreted, and used to resolve theoretical and applied problems. In addition, a variety of personal, interpersonal, and leadership skills (including technical communication, time management, networking, and continuous improvement) will be cultivated through complementary hands-on/minds-on activities. This project serves the national interest, as stated by NSF's mission: to promote the progress of science by engaging undergraduate students in state-of-the art research in engineering applications and computation; and to advance the national health, prosperity, and welfare by strengthening the STEM workforce and increasing the participation of underrepresented groups and veterans returning from active duty. Part 2:The goals of this REU program are to enhance student capacity to: 1) conduct innovative and meaningful research using HPC, 2) learn and think independently within an interdisciplinary collaborative environment, 3) conduct research with the utmost integrity, 4) prepare for professional careers, and 5) pursue graduate degrees in STEM programs. This program will recruit ten students per year from a diverse pool of first- and second-year students from smaller colleges, tribal colleges, and community colleges, with an emphasis on both minority and traditionally underrepresented students, as well as returning veterans. These students will participate in an intensive ten-week summer program and will work closely with faculty mentors on research projects that involve 1) simulation tools in the context of engineering design and analysis; 2) state-of-the-art research tools in engineering applications and computation; 3) statistical analysis based on real datasets and simulations; and 4) advanced numerical methods including parallel algorithms in HPC. The tangible outcomes will include student-authored journal articles, conference proceedings, and technical presentations. Program success will be assessed by an external evaluator through formative and summative evaluations, daily student reflections, student interviews, and student enrollment in STEM graduate programs.