Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000

  • Jiří Matela
  • Martin Šrom
  • Petr Holub
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7119)

Abstract

Arithmetic coding, and especially adaptive MQ-Coding of JPEG2000, is a serial process, which does not match specifics of GPUs as massively parallel processors well. In this paper we study and evaluate several approaches to acceleration of the MQ-Coding using commodity GPU hardware, including our proposal of a new enhanced renormalization procedure. We conclude with a “low occupancy approach” and 5.6–16× average speedup when compared to the state of the art multi-threaded CPU implementations.

Keywords

Discrete Wavelet Transform Lookup Table JPEG2000 Compression Thread Block Arithmetic Code 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jiří Matela
  • Martin Šrom
  • Petr Holub
    • 1
  1. 1.CESNET z.s.p.o.PragueCzech Republic

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