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Parallel and Distributed Programs

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Abstract

Parallel and distributed systems consist of multiple processors that can communicate with each other. Languages for programming such systems support constructs for expressing concurrency and communication. In this chapter, we will study how such languages can be implemented. As we will see, the presence of multiple processors introduces many new problems for a language implementer.

Keywords

  • Shared Memory
  • Shared Variable
  • Message Passing
  • Tuple Space
  • Automatic Parallelization

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-1-4614-4699-6_14
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© 2012 Springer Science+Business Media New York

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Grune, D., van Reeuwijk, K., Bal, H.E., Jacobs, C.J.H., Langendoen, K. (2012). Parallel and Distributed Programs. In: Modern Compiler Design. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4699-6_14

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  • DOI: https://doi.org/10.1007/978-1-4614-4699-6_14

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4698-9

  • Online ISBN: 978-1-4614-4699-6

  • eBook Packages: Computer ScienceComputer Science (R0)