A Multi-core Architecture Based Parallel Framework for H.264/AVC Deblocking Filters

Wang, Sung-Wen; Yang, Shih-Chin; Chen, Hongming; Yang, Chia-Lin; Wu, Ja‐Ling

doi:10.1007/s11265-008-0321-4

Cited by 19 publications

(11 citation statements)

References 21 publications

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“…The difference mainly comes from how the applications can be parallelized. From our experiments and Wu et al [30] , Fig.21 can be parallelized, which takes 38.6% of overall execution time. Actually, the percentage might be less because it incurs extra overhead of thread management and synchronization.…”

Section: Skip-line Application Vs H264 Decodermentioning

confidence: 57%

Unified UDispatch: A User Dispatching Tool for Multicore Systems

Hsueh

2011

J. Comput. Sci. Technol.

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In multicore environment, multithreading is often used to improve application performance. However, even in many simple applications, the performance might degrade when the number of threads increases. Users usually impute this phenomenon to the overhead of creation or termination of threads. In our observation, how the threads are dispatched to the multiple cores might have a more significant effect. We formally defined the problems on using threads as multithreading anomalies, and presented a novel user dispatching mechanism (UDispatch) which provides controllability in user space to improve application performance. Through modification of application source codes with the UDispatch application programming interface (API), the application performance can be improved significantly. However, since the application source codes might not be available or it might be too complicated to modify application source codes, we provided an extension, called UDispatch + , to dispatch threads without any modification of application source codes. In this paper, the UDispatch and UDispatch + are integrated and wrapped for more portability and introduced as a tool called Unified UDispatch (UUD) with more detailed experiments and description. It can dispatch the application threads to specific cores at the discretion of users with up to 171.8% performance improvement on a 4-core machine.

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Section: Skip-line Application Vs H264 Decodermentioning

confidence: 57%

Unified UDispatch: A User Dispatching Tool for Multicore Systems

Hsueh

2011

J. Comput. Sci. Technol.

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“…Wang et al [8] have shown that not all samples of a given macroblock are dependent on previously-filtered samples. As previously stated, the strong filter may alter three samples at each side of macroblock edge S: p , we see that the value of this sample is calculated using samples as far as p 0 of the strong filter (column p in Fig.…”

Section: Deblocking Filtering In the Mpeg-4 Avc/h264 Design And mentioning

confidence: 99%

“…Specifically, we propose a newly discovered macroblock independency that is denoted as Deblocking Filter Independency (DFI). It is based on our corrected and improved version of the Limited Error Propagation Effect introduced by Wang et al in [8]. By removing the inaccuracies for intra-coded slices that caused lossy filtering by Wang et al, correct filtering results according to the MPEG-4 AVC/H.264 standard can be achieved.…”

mentioning

confidence: 99%

Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively Parallel Architectures

Pieters

Hollemeersch

Cock

et al. 2011

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-The deblocking filter in the MPEG-4 AVC/H.264 standard is computationally complex because of its high content adaptivity, resulting in a significant number of data dependencies. These data dependencies interfere with parallel filtering of multiple macroblocks on massively-parallel architectures. In this paper, we introduce a novel macroblock partitioning scheme for concurrent deblocking in the MPEG-4 AVC/H.264 standard, based on our idea of Deblocking Filter Independency, a corrected version of the Limited Error Propagation Effect proposed in the literature. Our proposed scheme enables concurrent macroblock deblocking of luma samples with limited synchronization effort, independently of slice configuration, and is compliant with the MPEG-4 H.264/AVC standard. We implemented the method on the massively-parallel architecture of the Graphics Processing Unit (GPU). Experimental results show that our GPU implementation achieves faster-than real-time deblocking at 1309 frames per second for 1080p video pictures. Both software-based deblocking filters and state-of-the-art GPU-enabled algorithms are outperformed in terms of speed by factors up to 10.2 and 19.5 respectively for 1080p video pictures.

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“…To achieve the best compression quality, H.264/AVC has incorporated many algorithms with heavy data dependence. Wang et al [108] carefully reviewed the deblocking filter algorithm and observed that the results of each deblocking filtering step affect only a limited region of pixels. Therefore, a novel algorithm is proposed to take advantage of the parallelism.…”

Section: Innovative Architectures With Multiple Processors and Recmentioning

confidence: 99%

Algorithm/Architecture Co-Exploration of Visual Computing on Emergent Platforms: Overview and Future Prospects

Lee

Chen

Mattavelli

et al. 2009

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-Concurrently exploring both algorithmic and architectural optimizations is a new design paradigm. This survey paper addresses the latest research and future perspectives on the simultaneous development of video coding, processing, and computing algorithms with emerging platforms that have multiple cores and reconfigurable architecture. As the algorithms in forthcoming visual systems become increasingly complex, many applications must have different profiles with different levels of performance. Hence, with expectations that the visual experience in the future will become continuously better, it is critical that advanced platforms provide higher performance, better flexibility, and lower power consumption. To achieve these goals, algorithm and architecture co-design is significant for characterizing the algorithmic complexity used to optimize targeted architecture. This paper shows that seamless weaving of the development of previously autonomous visual computing algorithms and multicore or reconfigurable architectures will unavoidably become the leading trend in the future of video technology.

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A Multi-core Architecture Based Parallel Framework for H.264/AVC Deblocking Filters

Cited by 19 publications

References 21 publications

Unified UDispatch: A User Dispatching Tool for Multicore Systems

Unified UDispatch: A User Dispatching Tool for Multicore Systems

Parallel Deblocking Filtering in MPEG-4 AVC/H.264 on Massively Parallel Architectures

Algorithm/Architecture Co-Exploration of Visual Computing on Emergent Platforms: Overview and Future Prospects

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