Parallel Computing vs. Distributed Computing: A Great Confusion? (Position Paper)

Conference paper

DOI: 10.1007/978-3-319-27308-2_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9523)
Cite this paper as:
Raynal M. (2015) Parallel Computing vs. Distributed Computing: A Great Confusion? (Position Paper). In: Hunold S. et al. (eds) Euro-Par 2015: Parallel Processing Workshops. Euro-Par 2015. Lecture Notes in Computer Science, vol 9523. Springer, Cham

Abstract

This short position paper discusses the fact that, from a teaching point of view, parallelism and distributed computing are often confused, while, when looking at their deep nature, they address distinct fundamental issues. Hence, appropriate curricula should be separately designed for each of them. The “everything is in everything (and reciprocally)” attitude does not seem to be a relevant approach to teach students the important concepts which characterize parallelism on the one side, and distributed computing on the other side.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institut Universitaire de FranceParisFrance
  2. 2.IRISAUniversité de RennesRennesFrance
  3. 3.Department of ComputingHong Kong Polytechnic UniversityHung HomHong Kong

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