Evaluation of data-parallel splitting approaches for H.264 decoding

  • Authors:
  • Florian H. Seitner;Ralf M. Schreier;Michael Bleyer;Margrit Gelautz

  • Affiliations:
  • Vienna University of Technology;Vienna University of Technology;Vienna University of Technology;Vienna University of Technology

  • Venue:
  • Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
  • Year:
  • 2008

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Abstract

The high computational demands of the H.264 decoding process pose serious challenges on current processor architectures. A natural way to tackle this problem is the use of multi-core systems. The contribution of this paper lies in a systematic overview and performance evaluation of parallel video decoding approaches. Our study investigates six methods for accomplishing data-parallel splitting in strongly resource-restricted environments inherent to mobile devices. These methods are compared against each other in terms of run-time complexity, core usage, inter-communication and bus transfers. We present benchmark results using different numbers of processor cores. Our results shall aid in finding a splitting strategy that is best suited for the targeted hardware-architecture.