基于近似压缩机的低功率高速乘法器设计

Gayathri Vadhyan, A. S, M. R
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引用次数: 0

摘要

数字电子学中最常用的算术运算是乘法运算。从计算产品到处理各种媒体,乘法在数字电路执行的每个过程中都被使用。在数据路径中找到的执行乘法操作的可执行模块是乘数。多年来,提高乘法器的效率一直是数字电子学中讨论的问题。由于电子产品进入小型化时代,对乘法器的面积、功率、延迟特性的改进和优化的需求不断增加。多年来,为了实现这一需求,已经提出了各种各样的乘法器设计,方法是改进组成乘法器本身的每个部件,例如压缩机。我们还发现,许多应用程序允许出现错误,但仍然给出可用的结果。这被称为近似计算范式。本文包含一组近似4-2压缩器的设计,然后将其用于设计乘法器。所提出的乘法器设计包括单独的近似压缩器和近似压缩器与精确压缩器的组合。提出的各种乘数已经相互比较和其他现有的乘数由不同的作者提出。本文进一步扩展到使用所提出的乘法器的图像处理,以便使用PSNR和SSIM值验证和分析它们的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Low Power & High Speed Approximate Compressor Based Multiplier
The most common arithmetic operation performed in digital electronics is the multiplication operation. Ranging from calculating products to processing of various media, multiplication is used in every process performed by digital circuits. The executable module found in the data path which performs the multiplication operation is the multiplier. Over the years, the improvement of multiplier’s efficiency has been a matter of discussion in digital electronics. The need for improving and optimising the area, power, delay characteristics of multipliers has been ever increasing due to electronics moving into a miniaturisation age. Various designs of multipliers have been proposed over the years in the attempts of achieving this need by improving every component such as the compressor that makes up the multiplier itself. It has also been found that many of the applications can allow errors but still give out usable results. This was known as the approximate computing paradigm. This paper contains designs of a set of approximate 4-2 compressors which will be then used to design multipliers. The multiplier designs proposed consist of approximate compressors alone and a combination of approximate and exact compressors. The various multipliers proposed have been compared with one another and other existing multipliers proposed by various authors. The paper further extends to image processing using the proposed multipliers in order to verify and analyse their performances using PSNR and SSIM values.
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