Dynamic pipeline-partitioned video decoding on symmetric stream multiprocessors

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 comm...

Full description

Saved in:
Bibliographic Details
Main Authors: Wu, Ming-Ju, Chen, Yan-Ting, Tsai, Chun-Jen
Format: Conference Proceeding
Language:English
Subjects:
Architecture (computers)
Computer architecture
Computer programs
Decoders
Decoding
dynamic load balance
dynamic software pipeline
Dynamics
Multiprocessor
parallel video decoding
Pipeline processing
Pipelines
Process control
Processors
Software
Streaming media
Symmetric stream multiprocessor (SSMP)
Symmetry
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1063-6862
2160-052X
DOI:10.1109/ASAP.2015.7245716