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An integrated course on parallel and distributed processing

Authors:

José C. Cunha,

João LourençoAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 30, Issue 1

Pages 217 - 221

https://doi.org/10.1145/274790.274300

Published: 01 March 1998 Publication History

Abstract

Most known teaching experiences focus on parallel computing courses only, but some teaching experiences on distributed computing courses have also been reported. In this paper we describe a course on Parallel and Distributed Processing that is taught at undergraduate level in the Computer Science degree of our University.This course presents an integrated approach concerning concurrency, parallelism, and distribution issues. It's a breadth-first course addressing a wide spectrum of abstractions: the theoretical component focus on the fundamental abstractions to model concurrent systems, including process cooperation schemes, concurrent programming models, data and control distribution, concurrency control and recovery in transactional systems, and parallel processing models; the practical component illustrates the design and implementation issues involved in selected topics such as a data and control distribution problem, a distributed transaction-based support system and a parallel algorithm.We also discuss how this approach has been contributing to prepare the student to further actions regarding research and development of concurrent, distributed, or parallel systems.

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Cited By

Eisentraut CHermanns H(2008)Teaching Concurrency Concepts to FreshmenTransactions on Petri Nets and Other Models of Concurrency I10.1007/978-3-540-89287-8_3(35-53)Online publication date: 27-Nov-2008
https://dl.acm.org/doi/10.1007/978-3-540-89287-8_3
Carr SMayo JShene C(2003)ThreadMentorJournal on Educational Resources in Computing10.1145/958795.9587963:1(1-es)Online publication date: 1-Mar-2003
https://doi.org/10.1145/958795.958796
Dasgupta A(2021)Student Performance Evaluation of Distributed Algorithms Assignment in an Undergraduate Algorithms Course2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)10.1109/ISMSIT52890.2021.9604749(272-277)Online publication date: 21-Oct-2021
https://doi.org/10.1109/ISMSIT52890.2021.9604749
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An integrated course on parallel and distributed processing

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Association for Computing Machinery

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Publication History

Published: 01 March 1998

Published in SIGCSE Volume 30, Issue 1

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Cited By

Eisentraut CHermanns H(2008)Teaching Concurrency Concepts to FreshmenTransactions on Petri Nets and Other Models of Concurrency I10.1007/978-3-540-89287-8_3(35-53)Online publication date: 27-Nov-2008
https://dl.acm.org/doi/10.1007/978-3-540-89287-8_3
Carr SMayo JShene C(2003)ThreadMentorJournal on Educational Resources in Computing10.1145/958795.9587963:1(1-es)Online publication date: 1-Mar-2003
https://doi.org/10.1145/958795.958796
Dasgupta A(2021)Student Performance Evaluation of Distributed Algorithms Assignment in an Undergraduate Algorithms Course2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)10.1109/ISMSIT52890.2021.9604749(272-277)Online publication date: 21-Oct-2021
https://doi.org/10.1109/ISMSIT52890.2021.9604749
Radenski ALapidot TGal-Ezer JCaspersen MHazzan O(2012)Integrating data-intensive cloud computing with multicores and clusters in an HPC courseProceedings of the 17th ACM annual conference on Innovation and technology in computer science education10.1145/2325296.2325316(69-74)Online publication date: 3-Jul-2012
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Rague BSmith King LMusicant DCamp TTymann P(2012)Exploring concurrency using the parallel analysis toolProceedings of the 43rd ACM technical symposium on Computer Science Education10.1145/2157136.2157286(511-516)Online publication date: 29-Feb-2012
https://dl.acm.org/doi/10.1145/2157136.2157286
Rague B(2011)Measuring CS1 perceptions of parallelismProceedings of the 2011 Frontiers in Education Conference10.1109/FIE.2011.6142705(S3E-1-1-S3E-6)Online publication date: 12-Oct-2011
https://dl.acm.org/doi/10.1109/FIE.2011.6142705
Tran Q(2010)Teaching design & analysis of multi-core parallel algorithms using CUDAJournal of Computing Sciences in Colleges10.5555/1734797.173480025:4(7-14)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.5555/1734797.1734800
Albrecht J(2009)Bringing big systems to small schoolsACM SIGCSE Bulletin10.1145/1539024.150890341:1(101-105)Online publication date: 4-Mar-2009
https://dl.acm.org/doi/10.1145/1539024.1508903
Albrecht JFitzgerald SGuzdial MLewandowski GWolfman S(2009)Bringing big systems to small schoolsProceedings of the 40th ACM technical symposium on Computer science education10.1145/1508865.1508903(101-105)Online publication date: 4-Mar-2009
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Kimball AMichels-Slettvet SBisciglia C(2008)Cluster computing for web-scale data processingACM SIGCSE Bulletin10.1145/1352322.135217740:1(116-120)Online publication date: 12-Mar-2008
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