Multiplier, as a key role in many different applications, is a time-consuming, energy-intensive computation block. Approximate computing is a practical design paradigm that attempts to improve hardware efficacy while keeping computation quality satisfactory. A novel multicolumn 3,3:2 inexact compressor is presented in this paper. It takes three partial products from two adjacent columns each for rapid partial product reduction. The proposed inexact compressor and its derivates enable us to design a high-speed approximate multiplier. Then, another ultra-fast, high-efficient approximate multiplier is achieved utilizing a systematic truncation strategy. The proposed multipliers accumulate partial products in only two stages, one fewer stage than other approximate multipliers in the literature. Implementation results by Synopsys Design Compiler and 45 nm technology node demonstrates nearly 11.11% higher speed for the second proposed design over the fastest existing approximate multiplier. Furthermore, the new approximate multipliers are applied to the image processing application of image sharpening, and their performance in this application is highly satisfactory. It is shown in this paper that the error pattern of an approximate multiplier, in addition to the mean error distance and error rate, has a direct effect on the outcomes of the image processing application.
翻译:作为许多不同应用中的一个关键作用,乘数是一个耗时、能源密集的计算块。近似计算是一个实用的设计范式,它试图提高硬件的效能,同时使计算质量令人满意。本文介绍了一个新的多列 3:3:2不精确压缩器。它从两个相邻的柱子中各取出三个部分产品,以快速减少部分产品。拟议的不精确压缩器及其衍生物使我们能够设计一个高速的近似乘数。然后,又利用一个系统的脱轨战略实现了另一个超快、高效的近似乘数。拟议的倍增效数只分两个阶段积累部分产品,比文献中的其他近似乘数少一个阶段。Synopspsypsydes 设计编译器和45 nm 技术节点的落实结果显示,第二个拟议设计比现有最快的近11.11%的准乘数要快。此外,新的近似乘数用于图像加亮化的图像处理应用,其性非常令人满意。本文显示,除了平均的距离和误差率率外,在图像处理结果上有一个直接效果。