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CSinParallel: using map-reduce to teach parallel programming concepts across the CS curriculum (abstract only)

Authors:

Richard A. Brown,

Elizabeth Shoop,

Joel AdamsAuthors Info & Claims

SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education

Page 758

https://doi.org/10.1145/2445196.2445504

Published: 06 March 2013 Publication History

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Abstract

Map-reduce, the cornerstone computational framework for cloud computing applications, has star appeal to draw students to the study of parallelism. Participants will carry out hands-on exercises designed for students at CS1/intermediate/advanced levels that introduce data-intensive scalable computing concepts, using WebMapReduce (WMR), a simplified open-source interface to the widely used Hadoop map-reduce programming environment. These hands-on exercises enable students to perform data-intensive scalable computations carried out on the most widely deployed map-reduce framework, used by Facebook, Microsoft, Yahoo, and other companies. WMR supports programming in a choice of languages (including Java, Python, C++, C#, Scheme); participants will be able to try exercises with languages of their choice. Workshop includes brief introduction to direct Hadoop programming, and information about access to cluster resources supporting WMR. Workshop materials will reside on csinparallel.org, along with WMR software. Intended audience: CS instructors. Laptop required (Windows, Mac, or Linux).

References

[1]

P. Garrity, T. Yates, R. Brown, and E. Shoop, WebMapReduce: An accessible and adaptable tool for teaching map-reduce computing, in Proceedings of The 42nd ACM Technical Symposium on Computer Science Education, Dallas, TX, 2011, pp. 183--188.

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[2]

E. Johnson, P. Garrity, T. Yates, and R. Brown, Performance of a Virtual Cluster in a General-Purpose Teaching Laboratory, in IEEE Cluster Conference, 2011.

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[3]

R. Brown and E. Shoop, Modules in Community: Injecting More Parallelism Into Computer Science Curricula, in Proceedings of The 42nd ACM Technical Symposium on Computer Science Education, 2011, pp 447--452.

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[4]

J. C. Adams, K. Hoobeboom, and J. Walz, A cluster for CS education in the manycore era, in Proceedings of the 42nd ACM technical symposium on Computer science education, New York, NY, USA, 2011, pp. 27--32.

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[5]

J. Adams, C. Nevison, and N. C. Schaller, Parallel computing to start the millennium, SIGCSE Bull., vol. 32, no. 1, pp. 65--69, Mar. 2000.

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Cited By

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Rosasco NPaxson AHawk E(2024)A Pleasant Surprise: A Classic Assignment and an Offbeat Assessment for PDC, HPC, and Related KU CoverageJournal of Computing Sciences in Colleges10.5555/3665609.366561439:8(70-82)Online publication date: 17-May-2024
https://dl.acm.org/doi/10.5555/3665609.3665614
Adams JCaswell JMatthews SPeck CShoop EToth DDecker AEiselt KAlphonce CTims J(2015)Budget BeowulfsProceedings of the 46th ACM Technical Symposium on Computer Science Education10.1145/2676723.2677317(344-345)Online publication date: 24-Feb-2015
https://dl.acm.org/doi/10.1145/2676723.2677317

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CSinParallel: using map-reduce to teach parallel programming concepts across the CS curriculum (abstract only)

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Information

Published In

SIGCSE '13: Proceeding of the 44th ACM technical symposium on Computer science education

March 2013

818 pages

ISBN:9781450318686

DOI:10.1145/2445196

Conference Chairs:
Tracy Camp
Colorado School of Mines
,
Paul Tymann
Rochester Institute of Technology
,
Program Chairs:
J. D. Dougherty
Haverford College
,
Kris Nagel
Georgia Gwinnett College

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 06 March 2013

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SIGCSE '13

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SIGCSE '13: The 44th ACM Technical Symposium on Computer Science Education

March 6 - 9, 2013

Colorado, Denver, USA

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SIGCSE '13 Paper Acceptance Rate 111 of 293 submissions, 38%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Rosasco NPaxson AHawk E(2024)A Pleasant Surprise: A Classic Assignment and an Offbeat Assessment for PDC, HPC, and Related KU CoverageJournal of Computing Sciences in Colleges10.5555/3665609.366561439:8(70-82)Online publication date: 17-May-2024
https://dl.acm.org/doi/10.5555/3665609.3665614
Adams JCaswell JMatthews SPeck CShoop EToth DDecker AEiselt KAlphonce CTims J(2015)Budget BeowulfsProceedings of the 46th ACM Technical Symposium on Computer Science Education10.1145/2676723.2677317(344-345)Online publication date: 24-Feb-2015
https://dl.acm.org/doi/10.1145/2676723.2677317

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CSinParallel: Using WebMapReduce to Teach Parallel Computing Concepts, Hands-on (Abstract Only)

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