International audienceWith the emergence of the High Efficiency Video Coding (HEVC) standard, a dataflow description of the decoder part was developed as part of the MPEG-B standard. This dataflow description presented modest framerate results which led us to propose methodolo-gies to improve the performance. In this paper, we introduce architectural improvements by exposing more parallelism using YUV and frame-based parallel decoding. We also present platform optimizations based on the use of SIMD functions and cache efficient FIFOs. Results show an average acceleration factor of 5.8 in the decoding framerate over the reference architecture
With the standardization of the new High Efficiency Video Coding (HEVC) compression algorithm, a dataflow specification of the HEVC decoding process is also available as part of the standard. This paper presents methodologies to improve and optimize the performance of implementations derived by the dataflow specification. Regarding the architectural aspect of dataflow network, the throughput has been increased by developing more potential parallelism. For the platform aspect, critical processes have been optimized by applying SIMD functions and communications have been improved by cache efficient FIFO implementation. Results revealed an average acceleration factor of 7 in the decoding framerate over the reference dataflow implementation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.