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Accelerating IEEE 1857 Deblocking Filter on GPU Using CUDA

机译:使用CUDA在GPU上加速IEEE 1857解块滤波器

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In IEEE 1857/AVS decoder, the deblocking filter is one of the most time consuming tasks and it accounts for nearly 30% of the decoder complexity. Due to data dependence in the process of filtering, it is a big challenge to execute deblocking filter in parallel efficiently. In this paper, a parallel algorithm is proposed, which hides the data dependence by dividing a frame into several 8 × 8 Intersection-blocks. The proposed parallel deblocking filter algorithm is implemented on GPU using CUDA. Experimental results of processing 1920 × 1080 video streams show that the proposed CUDA deblocking filter implementation accelerates traditional CPU implementation by 6~8 times.
机译:在IEEE 1857 / AVS解码器中,解块滤波器是最耗时的任务之一,占解码器复杂度的近30%。由于过滤过程中的数据依赖性,有效并行执行解块滤波器是一个很大的挑战。在本文中,提出了一种并行算法,该算法通过将帧分成几个8×8的交叉块来隐藏数据依赖性。所提出的并行解块滤波器算法是使用CUDA在GPU上实现的。处理1920×1080视频流的实验结果表明,所提出的CUDA解块滤波器实现将传统CPU实现速度提高了6到8倍。

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