abstract

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

Authors:

Richard A. Brown,

Elizabeth Shoop,

Joel C. AdamsAuthors Info & Claims

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

Pages 716 - 717

https://doi.org/10.1145/2839509.2844688

Published: 17 February 2016 Publication History

Abstract

Map-reduce computation is the on-ramp to data-intensive cloud computing, and arguably the most widely deployed form of parallel/distributed computing. Participants will carry out exercises designed for students at CS1, intermediate, and advanced levels that introduce data-intensive scalable computing concepts using WebMapReduce (WMR), a simplified open-source interface to the dominant Hadoop map-reduce programming environment. WMR supports programming in a choice of languages including Python, Java, C++, and C#. Besides a hands-on experience with introductory teaching materials, the workshop includes an overview of teaching advanced map-reduce programming using WMR, and a comparison of WMR to direct Hadoop programming. All materials will reside on csinparallel.org, and the demonstration WMR system is reservable for participants' courses. Intended audience: CS instructors. Web-enabled laptop required.

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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
Foster DWhite LErdil DAdams JArgüelles AHainey BHyman HLewis GNazir SNguyen VSakr MStott LRößling GGiannakos MScharlau BMcDermott RPears ASabin M(2019)Toward a Cloud Computing Learning CommunityProceedings of the Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3344429.3372506(143-155)Online publication date: 18-Dec-2019
https://dl.acm.org/doi/10.1145/3344429.3372506
Erdil DWhite LFoster DAdams JArguelles Cruz AHainey BHyman HLewis GNazir SNguyen MSakr MStott LScharlau BMcDermott RPears ASabin M(2019)Toward Developing a Cloud Computing Model CurriculumProceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3304221.3325536(255-256)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3304221.3325536
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CSinParallel: Using WebMapReduce to Teach Parallel Computing Concepts, Hands-on (Abstract Only)

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Published In

SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education

February 2016

768 pages

ISBN:9781450336857

DOI:10.1145/2839509

General Chairs:
Carl Alphonce
University at Buffalo
,
Jodi Tims
Baldwin Wallace University
,
Program Chairs:
Michael Caspersen
Aarhus University
,
Stephen Edwards
Virginia Tech University

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

Publication History

Published: 17 February 2016

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National Science Foundation

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SIGCSE '16

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SIGCSE

SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education

March 2 - 5, 2016

Tennessee, Memphis, USA

Acceptance Rates

SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;

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

Upcoming Conference

SIGCSE TS 2025

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sigcse

The 56th ACM Technical Symposium on Computer Science Education

February 26 - March 1, 2025

Pittsburgh , PA , USA

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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
Foster DWhite LErdil DAdams JArgüelles AHainey BHyman HLewis GNazir SNguyen VSakr MStott LRößling GGiannakos MScharlau BMcDermott RPears ASabin M(2019)Toward a Cloud Computing Learning CommunityProceedings of the Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3344429.3372506(143-155)Online publication date: 18-Dec-2019
https://dl.acm.org/doi/10.1145/3344429.3372506
Erdil DWhite LFoster DAdams JArguelles Cruz AHainey BHyman HLewis GNazir SNguyen MSakr MStott LScharlau BMcDermott RPears ASabin M(2019)Toward Developing a Cloud Computing Model CurriculumProceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3304221.3325536(255-256)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3304221.3325536
Adams J(2017)Patternlets — A teaching tool for introducing students to parallel design patternsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2017.01.008105(31-41)Online publication date: Jul-2017
https://doi.org/10.1016/j.jpdc.2017.01.008

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

Developing competency in parallelism: techniques for education and training

Teaching parallel design patterns to undergraduates in computer science

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