Enriching Computing Curricula through HPC Teaching and Research

在Prairie View a&m大学，这个项目的目标是通过强化课程和研究机会，结合高性能计算（HPC）训练来提高大学生的计算机教育，从而激发学生对计算的兴趣，增强他们解决计算问题的能力。该项目利用教师的专业知识、机构的承诺、行业和联邦的支持来提高学生的计算机相关技能和教育。这个项目是由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员合作开发的，目的是开发一个多样化的高性能计算环境，并利用它来改善该机构与高性能计算相关的教育和培训。六门课程将重新设计，包括嵌入式和集群HPC平台，并整合项目教师的研究课题。此外，教师将开发并行计算、机器学习和计算机视觉领域的新课程。提出的高性能计算平台可以很容易地扩展到支持科学技术、工程和数学等其他学科。为了帮助美国保持其技术竞争力，该项目解决了国家需要提供训练有素的计算机科学毕业生的问题。近500名本科生，其中大多数是非裔美国人，将在三年的项目中受到影响。每年，高中教师和大学教员都将接受培训。本项目产生的研究数据、源代码和课程材料将在网上公布，并在会议和出版物中传播，供研究和教育界使用。

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.