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Analogies for teaching parallel computing to inexperienced programmers

Authors:

Henry Neeman,

Lloyd Lee,

Julia Mullen,

Gerard NewmanAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 38, Issue 4

Pages 64 - 67

https://doi.org/10.1145/1189136.1189172

Published: 26 June 2006 Publication History

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Abstract

Parallel computing is increasingly a requirement of Computational Science and Engineering (CSE) software because problems of interest are very large and hardware systems are becoming parallel through multicore technologies. Inexperienced programmers-non-computer scientists with one semester to a few years of programming experience-are crucial to CSE software development because academic research teams rely on them as application developers. For this group, the basic concepts of parallelism can be explained by analogies rather than through exploring the specifics of various technologies. These analogies are also useful for computer scientists who are new to parallel computing.

References

[1]

Kaplan, D., T., "Teaching Computation to Undergraduate Scientists." SIGCSE Bulletin, 36(1): 358--362, 2004.

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Google Scholar

[2]

Kessler, C., "A Practical Access to the Theory of Parallel Algorithms." SIGCSE Bulletin, 36(1): 397--401, 2004.

Digital Library

Google Scholar

[3]

Noyes, J. L., "A First Course in Computational Science (Why a Math Book Isn't Enough)." SIGCSE Bulletin, 34(1): 18--22, 2002.

Digital Library

Google Scholar

[4]

Mason, J., "Teaching by Analogy: The Switch Statement." SIGCSE Bulletin, 36(4): 105--107, 2004.

Digital Library

Google Scholar

[5]

Neeman, H., J. Mullen, L. Lee and G. Newman, "Supercomputing in Plain English: Teaching High Performance Computing to Inexperienced Programmers." Proc. of the 3rd LCI International Conference on Linux Clusters: The HPC Revolution 2002.

Google Scholar

[6]

http://www.oscer.ou.edu/education.php

Google Scholar

[7]

http://www.mpi-forum.org/docs/mpi-11-html/mpi-report.html

Google Scholar

[8]

http://www.oscer.ou.edu/resources.php#topdawg

Google Scholar

Cited By

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Czarnul PMatuszek MKrzywaniak A(2024)Teaching High–performance Computing Systems – A Case Study with Parallel Programming APIs: MPI, OpenMP and CUDAComputational Science – ICCS 202410.1007/978-3-031-63783-4_29(398-412)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-63783-4_29
Cheng Q(2020)Enrich a data structures course with parallelism2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274221(1-5)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1109/FIE44824.2020.9274221
Srivastava SSmith MGhimire AGao S(2019)Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities2019 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)10.1109/EduHPC49559.2019.00008(17-24)Online publication date: Nov-2019
https://doi.org/10.1109/EduHPC49559.2019.00008
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Analogies for teaching parallel computing to inexperienced programmers
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs

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Information

Published In

ACM SIGCSE Bulletin Volume 38, Issue 4

December 2006

186 pages

ISSN:0097-8418

DOI:10.1145/1189136

Issue’s Table of Contents

ITiCSE-WGR '06: Working group reports on ITiCSE on Innovation and technology in computer science education
June 2006
99 pages
ISBN:1595936033
DOI:10.1145/1189215

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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2006

Published in SIGCSE Volume 38, Issue 4

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Czarnul PMatuszek MKrzywaniak A(2024)Teaching High–performance Computing Systems – A Case Study with Parallel Programming APIs: MPI, OpenMP and CUDAComputational Science – ICCS 202410.1007/978-3-031-63783-4_29(398-412)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-63783-4_29
Cheng Q(2020)Enrich a data structures course with parallelism2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274221(1-5)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1109/FIE44824.2020.9274221
Srivastava SSmith MGhimire AGao S(2019)Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities2019 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)10.1109/EduHPC49559.2019.00008(17-24)Online publication date: Nov-2019
https://doi.org/10.1109/EduHPC49559.2019.00008
Calhoun SAkin DZimmerman BNeeman H(2019)Large scale research data archiving: Training for an inconvenient technologyJournal of Computational Science10.1016/j.jocs.2016.07.00536(100523)Online publication date: Sep-2019
https://doi.org/10.1016/j.jocs.2016.07.005
Gutierrez JPrevilon FKaeli D(2018)Employing Student Retention Strategies for an Introductory GPU Programming Course2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)10.1109/EduHPC.2018.00007(31-40)Online publication date: Nov-2018
https://doi.org/10.1109/EduHPC.2018.00007
Akin DBelgin MBouvet TBright NHarrell SHaymore BJennings MKnepper RLaPine DLiu FMaji ANeeman HReynolds RSherman AShowerman MTillotson JTowns JTurner GZimmerman B(2017)Linux Clusters Institute WorkshopsProceedings of the HPC Systems Professionals Workshop10.1145/3155105.3155108(1-8)Online publication date: 12-Nov-2017
https://dl.acm.org/doi/10.1145/3155105.3155108
Cesar ECortés AEspinosa AMargalef TMoure JSikora ASuppi R(2017)Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studiesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2016.12.027105(116-126)Online publication date: Jul-2017
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Bogaerts S(2017)One step at a timeJournal of Parallel and Distributed Computing10.1016/j.jpdc.2016.12.024105:C(4-17)Online publication date: 1-Jul-2017
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Cao YPorter LZingaro DSheard JTenenberg JChinn DDorn B(2016)Examining the Value of Analogies in Introductory ComputingProceedings of the 2016 ACM Conference on International Computing Education Research10.1145/2960310.2960313(231-239)Online publication date: 25-Aug-2016
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