基于分布式算法的MAC结构在DSP应用中的性能评价

M. Bharathi, Y. J. Shirur, P. Lahari
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引用次数: 14

摘要

MAC是每个数字信号处理器中必不可少的核心。本文的主要重点是介绍一种高性能的基于分布式的(DA) MAC和基于偏移二进制编码的分布式算法(DA) MAC,用于实时信号处理应用。在视频处理、音频处理、语音处理和医学图像处理应用中,加法和乘法是设计任意算术块的两种硬件资源。本文对具有不同乘数的不同MAC[2]单元进行了文献综述,以生成部分积并进行累积。开发了一种基于数据分析和偏移二进制编码的基于数据分析的MAC核,与使用各种乘法器的不同传统MAC核相比,该核具有更高的速度。采用Verilog对基于DA和偏移量的结构进行编码,并在Xilinx 14.7集成仿真环境中进行仿真和合成。与以往的近似加法器设计相比,获得了最佳的面积和较小的延迟效果。基于数据处理的MAC核在延迟方面效率更高,而基于偏移二进制编码的数据处理在速度和面积方面都有优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of Distributed Arithmetic based MAC Structures for DSP Applications
MAC is an essential core which is used in every Digital signal processor. The primary focal point of this article is to introduce a high performance Distributed based (DA) MAC and offset binary coding Distributed Arithmetic (DA) based MAC for real time Signal Processing Applications. Addition and multiplication are the two hardware resources widely used to design any arithmetic blocks in many fields like video processing, audio processing, speech processing and medical image processing applications. In this article, a literature survey is done on different MAC [2] units with different multipliers to generate partial products and to perform accumulation. Developed a DA based and offset binary coding DA based MAC cores which offers greater speed compared with different conventional MAC's using various multipliers. The coding for DA and offset based architectures are done using Verilog and simulation, synthesis are performed in Xilinx 14.7 Integrated Simulation Environment version. It achieves best area and less delay result when compared with previous approximate adder designs. The results of DA based MAC cores gives much more efficient in delay whereas offset binary coding-based DA offers both speed and area optimization.
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