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Parallel Computing At The Undergraduate Level: Lessons Learned and Insights

Published: 22 June 2019 Publication History

Abstract

All computing devices we currently use are parallel machines. This includes the whole range from portable devices to supercomputers. Until recently, parallel computing at the undergraduate level was considered an advanced elective topic in most computer science and engineering departments. If this continues, undergraduate students will not be competitive in the market. If they decide to go to graduate studies, they will be late in acquiring parallel computing skills.
In this paper we discuss the challenges and insights in designing an undergraduate parallel computing course in computer science department. These insights stem from our experience in offering this course for six years, once per year.

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Ruud Van der Pas, Eric Stotzer, and Christian Terboven. 2017. Using OpenMP - The Next Step. The MIT Press.
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Theodora Koulouri, Stanislao Lauria, and Robert D. Macredie. 2014. Teaching Introductory Programming: A Quantitative Evaluation of Different Approaches. Trans. Comput. Educ. 14, 4, Article 26 (Dec. 2014), 28 pages.
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Barry L. Kurtz, Chinhyun Kim, and Jamal Alsabbagh. 1998. Parallel Computing in the Undergraduate Curriculum. In Proceedings of the Twenty-ninth SIGCSE Technical Symposium on Computer Science Education (SIGCSE '98). ACM, New York, NY, USA, 212--216.
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M. Misra. 1994. An Undergraduate Course in Parallel Computing for Scientists and Engineers. In Proceedings of NSF Workshop on Parallel Computing for Undergraduates.
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Peter Pacheco. 2011. An Introduction to Parallel Programming. Elsevier Morgan Kaufmann.

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  • (2021)The Future of High-Performance Computing2021 17th International Computer Engineering Conference (ICENCO)10.1109/ICENCO49852.2021.9698918(129-134)Online publication date: 29-Dec-2021

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cover image ACM Conferences
WCAE'19: Proceedings of the Workshop on Computer Architecture Education
June 2019
70 pages
ISBN:9781450368421
DOI:10.1145/3338698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 22 June 2019

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  • (2021)The Future of High-Performance Computing2021 17th International Computer Engineering Conference (ICENCO)10.1109/ICENCO49852.2021.9698918(129-134)Online publication date: 29-Dec-2021

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