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Parallel Implementation

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Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

The described algorithms and methodologies are analyzed regarding their suitability for parallel execution on multiple processors that act as multicore processors, GPUs, or distributed computers. The speedup and runtime have been assessed experimentally.

Keywords

  • Parallel implementation
  • OpenMP
  • CUDA
  • MPI
  • Cache
  • Domain decomposition

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  • DOI: 10.1007/978-3-319-17073-2_8
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Correspondence to Roman Trobec .

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Trobec, R., Kosec, G. (2015). Parallel Implementation. In: Parallel Scientific Computing. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-17073-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-17073-2_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17072-5

  • Online ISBN: 978-3-319-17073-2

  • eBook Packages: Computer ScienceComputer Science (R0)