Abstract
AbstractThis paper presents a GPU-based parallelisation of an optimised versatile video decoder (VVC) adaptive loop filter (ALF) filter on a resource-constrained heterogeneous platform. The GPU has been comprehensively utilised to maximise the degree of parallelism, making the programme capable of exploiting the GPU capabilities. The proposed approach enables to accelerate the ALF computation by an average of two times when compared to an already fully optimised version of the software decoder implementation over an embedded platform. Finally, this work presents an analysis of energy consumption, showing that the proposed methodology has a negligible impact on this key parameter.
Funder
Spanish Ministerio de Ciencia y Innovación
Portuguese national funds through Fundação para a Ciência e a Tecnologia
Universidad Politécnica de Madrid
Publisher
Springer Science and Business Media LLC
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