Multimedia Tools and Applications

, Volume 51, Issue 2, pp 801–818 | Cite as

Parallel programming for multimedia applications

  • Hari Kalva
  • Aleksandar Colic
  • Adriana Garcia
  • Borko Furht


Computing capabilities are continuing to increase with the availability of multi core and many core processors. The wide availability of multi core processors has made parallel programming possible for end user applications running on desktops, workstations, and mobile devices. While parallel hardware has become common, software that exploits parallel capabilities is just beginning to take hold. Multimedia applications, with their data parallel nature and large computing requirements will benefit significantly from parallel programming. In this paper an overview of parallel programming is presented and languages and tools for parallel programming such as OpenMP and CUDA are introduced within the scope of multimedia applications.


Parallel programming OpenMP CUDA SIMD Multimedia programming 


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Hari Kalva
    • 1
  • Aleksandar Colic
    • 1
  • Adriana Garcia
    • 1
  • Borko Furht
    • 1
  1. 1.Department of Computer & Electrical engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonUSA

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