Methods and tools for teaching parallel and distributed computing in universities: a systematic review of the literature

As computer hardware becomes more and more parallel, there is a need for software engineers who are experienced in developing parallel programs, not only by “parallelizing” sequential designs. Teach students a parallelism in elementary courses in computer science this is a very important step toward...

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Bibliographic Details
Published in:SHS web of conferences Vol. 75; p. 4017
Main Author: Sitsylitsyn, Yuriy
Format: Journal Article Conference Proceeding
Language:English
Published: Les Ulis EDP Sciences 2020
Subjects:
Building engineers
Computer science
Distributed processing
Engineers
Higher education
Literature reviews
Programming languages
Quality assessment
Software
Systematic review
Teaching
Teaching methods
ISSN:2261-2424, 2416-5182, 2261-2424
Online Access:Get full text
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Summary:As computer hardware becomes more and more parallel, there is a need for software engineers who are experienced in developing parallel programs, not only by “parallelizing” sequential designs. Teach students a parallelism in elementary courses in computer science this is a very important step towards building the competencies of future software engineers. We have conducted research on “teaching parallel and distributed computing” and “parallel programming” publications in the Scopus database, published in English between 2008 and 2019. After quality assessment, 26 articles were included in the analysis. As a result, the main tool for teaching parallel and distributed computing is a lab course with a C++ programming language and MPI library.
Bibliography:ObjectType-Article-1
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SourceType-Conference Papers & Proceedings-1
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ISSN:2261-2424
2416-5182
2261-2424
DOI:10.1051/shsconf/20207504017