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Scalable Parallel Programming Applied to H.264/AVC Decoding

  • Ben Juurlink
  • Mauricio Alvarez-Mesa
  • Chi Ching Chi
  • Arnaldo Azevedo
  • Cor Meenderinck
  • Alex Ramirez

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 1-4
  3. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 5-15
  4. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 17-33
  5. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 35-52
  6. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 53-66
  7. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 67-79
  8. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 81-96
  9. Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 97-101

About this book

Introduction

Existing software applications should be redesigned if programmers want to benefit from the performance offered by multi- and many-core architectures. Performance scalability now depends on the possibility of finding and exploiting enough Thread-Level Parallelism (TLP) in applications for using the increasing numbers of cores on a chip.

Video decoding is an example of an application domain with increasing computational requirements every new generation. This is due, on the one hand, to the trend towards high quality video systems (high definition and frame rate, 3D displays, etc) that results in a continuous increase in the amount of data that has to be processed in real-time. On the other hand, there is the requirement to maintain high compression efficiency which is only possible with video codes like H.264/AVC that use advanced coding techniques.

In this book, the parallelization of H.264/AVC decoding is presented as a case study of parallel programming. H.264/AVC decoding is an example of a complex application with many levels of dependencies, different kernels, and irregular data structures. The book presents a detailed methodology for parallelization of this type of applications. It begins with a description of the algorithm, an analysis of the data dependencies and an evaluation of the different parallelization strategies. Then the design and implementation of a novel parallelization approach is presented that is scalable to many core architectures. Experimental results on different parallel architectures are discussed in detail. Finally, an outlook is given on parallelization opportunities in the upcoming HEVC standard.

Keywords

H.264/AVC HEVC standard Multicore architectures Parallel programming Video decoding

Authors and affiliations

  • Ben Juurlink
    • 1
  • Mauricio Alvarez-Mesa
    • 2
  • Chi Ching Chi
    • 3
  • Arnaldo Azevedo
    • 4
  • Cor Meenderinck
    • 5
  • Alex Ramirez
    • 6
  1. 1.Technische Universität BerlinBerlinGermany
  2. 2.Fraunhofer-Institute forTechnische Universität BerlinBerlinGermany
  3. 3.Technische Universität BerlinBerlinGermany
  4. 4.Delft University of TechnologyDelftNetherlands
  5. 5.intellimagicLeidenNetherlands
  6. 6.Barcelona Supercomputing CenterUniversitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-2230-3
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-2229-7
  • Online ISBN 978-1-4614-2230-3
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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