Coarse grain parallelization of H.264 video decoder and memory bottleneck in multi-core architectures

計畫名稱:Coarse grain parallelization of H.264 video decoder and memory bottleneck in multi-core architectures

所屬單位:電子所

研究團隊:BL405

計畫主持人:陳中平

研究人員:楊承燁

資源需求:MPI, MPICC

使用期間:2010/07~

研究主題:
Coarse grain parallelization of H.264 video decoder and memory bottleneck in multi-core architectures

研究內容概述:
Fine grain methods for parallelization of the H.264 decoder have good latency performance and less memory usage. However, they could not reach the scalability of Group of Pictures(GOP) level approaches although assuming a well designed entropy decoder which can feed the increasing number of parallel working cores. We would like to introduce a GOP level approach due to its high scalability, mentioning solution approaches for the well-known latency and memory issues. Our design revokes the need to a scanner for GOP start-codes which was used in the earlier methods. This approach lets all the cores work on the decoding task. Our experiments showed that the memory operations may degrade the scalability of parallel application substantially. The multicore cache architecture appeared to be a critical point for getting the desired speedup

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