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An Efficient Scheme for Parallelizing Fast Search Algorithm on SIMD Architecture in H.264/AVC

机译:H.264 / AVC中基于SIMD架构的并行快速搜索算法的高效方案

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As the video CODECs become complex increasingly according to the convergence of digital equipments designed for different kinds of specific purposes, the demand of higher performance for video processing is continuously needed. The fast search methods are well known as a representative approach to overcome the performance bottleneck of video encoding. But they require huge computations and dominate most of the running time of video encoding. So, a parallel processing is required to enhance the performance. In general, the fast search methods are difficult to be parallelized because their memory access patterns are not followed by a definite form. This paper proposes a new method for parallelizing a fast search method using linear SIMD architecture with only one-to-one connection between a PE and a memory bank. The simulation results show that the proposed method can reduce nearly 20 percent of running time in the motion estimation (ME).
机译:随着根据针对各种特定目的而设计的数字设备的融合,视频编解码器变得越来越复杂,对视频处理的更高性能的需求不断地需要。快速搜索方法是克服视频编码性能瓶颈的一种代表性方法,众所周知。但是它们需要大量的计算,并且在视频编码的大部分运行时间中占据主导地位。因此,需要并行处理以提高性能。通常,快速搜索方法很难并行化,因为它们的内存访问模式没有确定的形式。本文提出了一种新方法,该方法用于并行化使用线性SIMD架构的快速搜索方法,而PE和存储体之间只有一对一的连接。仿真结果表明,该方法可减少运动估计(ME)的运行时间近20%。

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