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Budget Beowulfs: A Showcase of Inexpensive Clusters for Teaching PDC

Published: 24 February 2015 Publication History

Abstract

In response to the shift to multicore processors, the ACM-IEEE CS2013 curriculum recommendations [1] include parallel and distributed computing (PDC) as a new core knowledge area. Some of the key concepts in PDC are the distinctions between shared-memory, distributed-memory, and heterogeneous system architectures.
Most CS educators would agree that providing students with hands-on experience improves their students' learning. Given the ubiquity of multicore processors, it is quite easy to give today's students hands-on experience developing software on shared-memory architectures. By contrast, providing students with hands-on experience developing software for distributed architectures has typically required access to a Beowulf cluster, the price of which was beyond the reach of many institutions. However, hardware manufacturers have recently begun producing a variety of inexpensive --system on a board multiprocessors. Creative CS educators are using these multiprocessors to design and build inexpensive Beowulf clusters, and using them to provide students with hands-on experience with shared-memory, distributed-memory, and heterogeneous computing paradigms.
In this special session, several PDC educators will bring, present, and demonstrate their innovative Beowulf clusters; each designed and built using a different inexpensive multiprocessor board.

References

[1]
ACM/IEEE CS Joint Task Force. "Computer Science Curriculum 2013". Online. Accessed 2014-08-01. http://ai.stanford.edu/users/sahami/CS2013/.
[2]
J. Adams and T. Brom. "Microwulf: A Beowulf Cluster for Every Desk", Proc. of the 39th SIGCSE Technical Symposium, March, 2008, p. 121--125, DOI= 10.1145/1352135.1352178.
[3]
Adapteva. "Parallella". Online, accessed 2014-08-01: http://www.adapteva.com/parallella/.
[4]
R. Brown, L. Shoop, J. Adams. "CSinParallel: Parallel Computing in the CS Curriculum". Online, accessed 2014-08-01. http://csinparallel.org.
[5]
CubieBoard. "CubieBoard2". Online, accessed 2014-08-01: http://cubieboard.org/.
[6]
Hardkernel. "ODROID-U3". Online, accessed 2014-08-01: http://hardkernel.com.
[7]
Nvidia. "Jetson-Tk1". Online, accessed 2014-08-01: https://developer.nvidia.com/jetson-tk1.
[8]
C. Peck, et al. "LittleFe: Parallel and Cluster Computing On The Move". Online, accessed 2014-08-01: http://littlefe.net.
[9]
Raspberry Pi Foundation. "Raspberry Pi". Online, accessed 2014-08-01: http://www.raspberrypi.org.

Cited By

View all
  • (2021)ABET Accreditation: A Way Forward for PDC Education2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW52791.2021.00059(328-335)Online publication date: Jun-2021
  • (2020)High Performance Computing EducationProceedings of the Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3437800.3439203(51-74)Online publication date: 17-Jun-2020
  • (2018)Making the one cluster per student method of teaching parallel computing financially practicalJournal of Computing Sciences in Colleges10.5555/3199572.319958733:4(106-113)Online publication date: 1-Apr-2018
  • Show More Cited By

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Published In

cover image ACM Conferences
SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education
February 2015
766 pages
ISBN:9781450329668
DOI:10.1145/2676723
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: 24 February 2015

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Author Tags

  1. architecture
  2. beowulf
  3. clusters
  4. computing
  5. distributed
  6. education
  7. hardware
  8. inexpensive
  9. multicore
  10. parallel
  11. processes
  12. teaching
  13. threads

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  • Brief-report

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  • National Science Foundation

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SIGCSE '15
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SIGCSE '15 Paper Acceptance Rate 105 of 289 submissions, 36%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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Cited By

View all
  • (2021)ABET Accreditation: A Way Forward for PDC Education2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)10.1109/IPDPSW52791.2021.00059(328-335)Online publication date: Jun-2021
  • (2020)High Performance Computing EducationProceedings of the Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3437800.3439203(51-74)Online publication date: 17-Jun-2020
  • (2018)Making the one cluster per student method of teaching parallel computing financially practicalJournal of Computing Sciences in Colleges10.5555/3199572.319958733:4(106-113)Online publication date: 1-Apr-2018
  • (2018)A mathematical multi-dimensional mechanism to improve process migration efficiency in peer-to-peer computing environmentsCogent Engineering10.1080/23311916.2018.14584345:1(1458434)Online publication date: 15-Apr-2018
  • (2017)Evolution of Clustering and Parallel ComputingArchitectural Transformations in Network Services and Distributed Systems10.1007/978-3-658-14842-3_3(45-76)Online publication date: 24-Mar-2017
  • (2015)OnRamp to parallel and distributed computingProceedings of the Workshop on Education for High-Performance Computing10.1145/2831425.2831426(1-8)Online publication date: 15-Nov-2015
  • (2015)A model supercomputer for instructional support2015 3rd Experiment International Conference (exp.at'15)10.1109/EXPAT.2015.7463231(114-115)Online publication date: Jun-2015

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