Implementing an affordable high-performance computing for teaching-oriented computer science curriculum

Author:

Abuzaghleh Omar1,Goldschmidt Kathleen1,Elleithy Yasser1,Lee Jeongkyu1

Affiliation:

1. University of Bridgeport, Bridgeport, CT

Abstract

With the advances in computing power, high-performance computing (HPC) platforms have had an impact on not only scientific research in advanced organizations but also computer science curriculum in the educational community. For example, multicore programming and parallel systems are highly desired courses in the computer science major. However, the high cost of HPC equipment and maintenance makes it hard to be adapted into a conventional computer science curriculum. Specifically, teaching-oriented institutions cannot afford an HPC system due to the high cost, lack of experience, and smaller research infrastructure. The main objective of this article is to present an affordable and easy-to-use high-performance cluster system for teaching-oriented computer science curriculums. In order to address this, we have designed and implemented an affordable high-performance cluster system based on the PlayStation 3 (PS3). For the performance evaluation of the PS3 cluster, we conducted a benchmarking test, that is, matrix multiplication, with different numbers of synergistic processing elements (SPEs) and nodes. As a result, it was concluded that the PS3Cluster provides enough computing power as an HPC for computer science courses, while the total cost is less than 10% of an existing cluster system on the market that has similar performance. In addition, the implemented PS3Cluster system has been used for computer science courses, such as Parallel and Distributed Databases and Parallel Programming.

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Second Life: Enabling a Student Special Interest Group through Decommissioned HPC Systems;Practice and Experience in Advanced Research Computing 2024: Human Powered Computing;2024-07-17

2. Teaching High-Performance Computing in Developing Countries: A Case Study in Mexican Universities;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

3. Teaching parallel and distributed computing concepts in simulation with WRENCH;Journal of Parallel and Distributed Computing;2021-10

4. Integrating supercomputing clusters into education: a case study in biotechnology;The Journal of Supercomputing;2020-06-09

5. Teaching Parallel and Distributed Computing Concepts in Simulation with WRENCH;2019 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC);2019-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3