Enriching Computing Curricula through HPC Teaching and Research

Prairie View A&amp；M大学这个项目的目标是通过加强课程和研究机会来改善本科计算机教育，其中包括高性能计算(HPC)培训，这将激发学生对计算的兴趣，并加强他们解决计算问题的技能。该项目利用教师专业知识、机构承诺、行业和联邦支持来提升学生与计算相关的技能和教育。该项目是来自电气与计算机工程、计算机科学和工程技术三个系的教职员工合作，旨在开发多样化的高性能计算环境，并利用它来改进学院与HPC相关的教育和培训。将重新设计六门课程，以包括嵌入式和集群HPC平台，并整合项目教员的研究主题。此外，教职员工将在并行计算、机器学习和计算机视觉领域开发新课程。建议的HPC平台可以很容易地扩展，以支持科学、技术、工程和数学领域的其他学科。该项目针对的是一个全国性的需求，即提供训练有素的计算科学毕业生，以帮助美国保持其技术竞争力。近500名本科生，其中大部分是非洲裔美国人，将在三个项目年受到影响。每年，高中教师和大学教职员工都将接受培训。该项目产生的研究数据、源代码和课程材料将在网上公布，并在研究和教育界的会议和出版物中传播。

The goal of this project at Prairie View A&M University is to improve undergraduate computing education through enhanced courses and research opportunities that incorporate high performance computing (HPC) training that will stimulate students' interest in computing and strengthen their computational problem-solving skills. This project leverages faculty expertise, institutional commitment, industry and federal support to elevate students' computing-related skills and education.This project is a collaboration of faculty members from three departments - Electrical & Computer Engineering, Computer Science, and Engineering Technology - to develop a diverse high performance computing environment and use it to improve HPC-related education and training at the institution. Six courses will be redesigned to include both embedded and cluster HPC platforms and integrate research topics of the project faculty members. In addition, faculty members will develop new courses in the areas of parallel computing, machine learning, and computer vision. The proposed HPC platforms can easily be expanded to support other disciplines in science technology, engineering, and mathematics. This project addresses a national need to provide trained graduates in the computing sciences in order to help the U.S. retain its technological competitiveness. Almost 500 undergraduate students, the majority of whom are African American, will be impacted during the three project years. Each year, high school teachers and university faculty members will receive training. Research data, source code, and curriculum materials generated by this project will be posted online and disseminated in conferences and publications for the research and educational community.