分析了基于DSP的图像处理中采用的复杂的流水线算法

Liu Shuhua, Tie Yong, Guo Gaizhi
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引用次数: 0

摘要

算法优化是DSP实时系统的重要组成部分。在图像处理中,许多核心算法都是图像遍历处理。由于存在大量的多循环,而循环通常是提高算法效率的最佳机会,因此如果能够实现高效的软件流水线,可以大大提高这些核心算法的效率。C6000是一种超长指令字(VLIW)结构的芯片,最多可并行执行8条指令。采用这种并行性是实现最佳性能的核心。C/ c++代码中的指令并行是一种对循环的软件流水线。在软件流水线中,一个循环的多个迭代在软件中同时执行[1][2]。本文以实际工程中的实际代码为基础,提出了一种分析算法复杂度并在DSP上有效运行的算法,从而大大提高了实时图像处理的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The pipeline analysis of the complex algorithms adopted in the DSP based image processing
Algorithm optimization is an important part of DSP real-time system. In image processing, many core algorithms are the image traversal manipulation. Because there are a large number of multi-loop and generally loop is the best opportunity to improve the algorithm efficiency, those core algorithms efficiency can be improved greatly if the high effective software pipeline can be implemented. C6000 is a kind of chip with very long instruction word (VLIW) architecture, which can execute up to eight instructions in parallel. Adopting this parallelism is central to achieving peak performance. Instruction parallelism in C/C++ code is a kind of software pipelining to the loops. In software pipelining, multiple iterations of a loop are executed simultaneously in software[1][2]. In this paper, based on the actual code used in the real project, an algorithm to analysis algorithm complexity and run effectively in DSP is presented, so a significant increase in speed of the real-time image processing is possible.
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