Employing Student Retention Strategies for an Introductory GPU Programming Course

Julian Gutierrez, Fritz G. Previlon, D. Kaeli
{"title":"Employing Student Retention Strategies for an Introductory GPU Programming Course","authors":"Julian Gutierrez, Fritz G. Previlon, D. Kaeli","doi":"10.1109/EduHPC.2018.00007","DOIUrl":null,"url":null,"abstract":"Graphics Processing Units (GPUs) have become a vital hardware resource for the industry and research community due to their high computing capabilities. Despite this, GPUs have not been introduced into the undergraduate curriculum of Computer Engineering and are barely covered in graduate courses. Bridging the gap between university curriculum and industry requirements for GPU expertise is ongoing, but this process takes time. Offering an immediate opportunity for students to learn GPU programming is key for their professional growth. The Northeastern University Computer Architecture Research Lab offers a free GPU programming course to incentivize students from all disciplines to learn how to efficiently program a GPU. In this paper, we discuss the methods used to keep students engaged in a course with no academic obligations. After applying these strategies, we were able to retain more than 80% of the students who started the course. Moreover, the students gave positive feedback on these strategies.","PeriodicalId":315808,"journal":{"name":"2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EduHPC.2018.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Graphics Processing Units (GPUs) have become a vital hardware resource for the industry and research community due to their high computing capabilities. Despite this, GPUs have not been introduced into the undergraduate curriculum of Computer Engineering and are barely covered in graduate courses. Bridging the gap between university curriculum and industry requirements for GPU expertise is ongoing, but this process takes time. Offering an immediate opportunity for students to learn GPU programming is key for their professional growth. The Northeastern University Computer Architecture Research Lab offers a free GPU programming course to incentivize students from all disciplines to learn how to efficiently program a GPU. In this paper, we discuss the methods used to keep students engaged in a course with no academic obligations. After applying these strategies, we were able to retain more than 80% of the students who started the course. Moreover, the students gave positive feedback on these strategies.
在GPU编程入门课程中运用学生留存策略
图形处理单元(gpu)由于其强大的计算能力已经成为工业和研究领域的重要硬件资源。尽管如此,gpu并没有被引入到计算机工程的本科课程中,研究生课程中也很少涉及到gpu。弥合大学课程与GPU专业知识行业要求之间的差距正在进行中,但这个过程需要时间。为学生提供学习GPU编程的即时机会是他们专业成长的关键。东北大学计算机体系结构研究实验室提供了一门免费的GPU编程课程,以激励所有学科的学生学习如何有效地为GPU编程。在本文中,我们讨论了用来保持学生从事课程没有学术义务的方法。在运用了这些策略之后,我们能够留住80%以上的学生。此外,学生们对这些策略给出了积极的反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信