Dynamic pipeline-partitioned video decoding on symmetric stream multiprocessors

Ming Ju Wu, Yan Ting Chen, Chun-Jen Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we have implemented a dynamic pipeline-partitioning video decoder for the symmetric stream multiprocessor (SSMP) architecture. The SSMP architecture extends the traditional symmetric multiprocessor (SMP) architecture with dedicated per-core scratchpad memories and inter-processor communication (IPC) controllers for efficient data passing between the processor cores. The SSMP architecture allows the processor cores to cooperate efficiently in a fine-grained software pipeline fashion. A traditional software pipelined video decoder has fixed pipeline-stage partitions. The AVC/H.264 video decoder investigated in this paper dynamically assigns different stages of the video macroblock (MB) decoding tasks to different processor cores in order to maintain load balance among the processor cores. The pipeline partitioning policy is based on the queue levels of the inter-stage buffers. Experimental results show that, on average, the proposed dynamic pipeline-partitioning video decoder is 34% faster compared to a wavefront-based parallel video decoder.

Original languageEnglish
Title of host publicationProceedings of the ASAP 2015 - 2015 IEEE 26th International Conference on Application-Specific Systems, Architectures and Processors
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-110
Number of pages5
ISBN (Electronic)9781479919246
DOIs
StatePublished - 8 Sep 2015
Event26th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2015 - Toronto, Canada
Duration: 27 Jul 201529 Jul 2015

Publication series

NameProceedings of the International Conference on Application-Specific Systems, Architectures and Processors
Volume2015-September
ISSN (Print)1063-6862

Conference

Conference26th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2015
CountryCanada
CityToronto
Period27/07/1529/07/15

Keywords

  • dynamic load balance
  • dynamic software pipeline
  • parallel video decoding
  • Symmetric stream multiprocessor (SSMP)

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