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The pipeline analysis of the complex algorithms adopted in the DSP based image processing

机译:基于DSP图像处理中采用的复杂算法的流水线分析

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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. 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.
机译:算法优化是DSP实时系统的重要组成部分。在图像处理中,许多核心算法是图像遍历操纵。因为有大量的多环的,一般循环是提高算法的效率最好的机会,这些核心算法的效率可以大大提高,如果高效的软件流水线可以实现。 C6000是一种具有非常长的指令字(VLIW)架构的芯片,它可以并行执行最多八个指令。采用这种并行性是实现峰值性能的核心。 C / C ++代码中的指令并行性是一种向循环的软件流水线。在软件流水线中,在软件中同时执行循环的多次迭代。本文基于实际项目中使用的实际代码,提出了一种分析算法复杂性和在DSP中有效运行的算法,因此可以显着提高实时图像处理的速度。

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