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Scalable Parallel Programming Applied to H.264/AVC Decoding

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

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiii
  2. Introduction

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 1-4
  3. Understanding the Application: An Overview of the H.264 Standard

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 5-15
  4. Discovering the Parallelism: Task-level Parallelism in H.264 Decoding

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 17-33
  5. Exploiting Parallelism: the 2D-Wave

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 35-52
  6. Extracting More Parallelism: the 3D-Wave

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 53-66
  7. Addressing the Bottleneck: Parallel Entropy Decoding

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 67-79
  8. Putting It All Together: A Fully Parallel and Efficient H.264 Decoder

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 81-96
  9. Conclusions

    • Ben Juurlink, Mauricio Alvarez-Mesa, Chi Ching Chi, Arnaldo Azevedo, Cor Meenderinck, Alex Ramirez
    Pages 97-101

About this book

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.

Authors and Affiliations

  • Technische Universität Berlin, Berlin, Germany

    Ben Juurlink, Chi Ching Chi

  • Fraunhofer-Institute for, Technische Universität Berlin, Berlin, Germany

    Mauricio Alvarez-Mesa

  • Delft University of Technology, Delft, Netherlands

    Arnaldo Azevedo

  • intellimagic, Leiden, Netherlands

    Cor Meenderinck

  • Barcelona Supercomputing Center, Universitat Politècnica de Catalunya, Barcelona, Spain

    Alex Ramirez

Bibliographic Information

  • Book Title: Scalable Parallel Programming Applied to H.264/AVC Decoding

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

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4614-2230-3

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2012

  • Softcover ISBN: 978-1-4614-2229-7Published: 01 June 2012

  • eBook ISBN: 978-1-4614-2230-3Published: 01 June 2012

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XIII, 101

  • Number of Illustrations: 35 b/w illustrations

  • Topics: Signal, Image and Speech Processing, Programming Techniques

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access