Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146916
Title: Approximate array multipliers
Authors: Balasubramanian, Padmanabhan
Nayar, Raunaq
Maskell, Douglas Leslie
Keywords: Engineering::Electrical and electronic engineering::Integrated circuits
Engineering::Computer science and engineering::Hardware
Issue Date: 2021
Source: Balasubramanian, P., Nayar, R. & Maskell, D. L. (2021). Approximate array multipliers. Electronics, 10(5), 630:1-630:20. https://dx.doi.org/10.3390/electronics10050630
Project: MOE2018-T2-2-024 
Journal: Electronics 
Abstract: This article describes the design of approximate array multipliers by making vertical or horizontal cuts in an accurate array multiplier followed by different input and output assignments within the multiplier. We consider a digital image denoising application and show how different combinations of input and output assignments in an approximate array multiplier affect the quality of the denoised images. We consider the accurate array multiplier and several approximate array multipliers for synthesis. The multipliers were described in Verilog hardware description language and synthesized by Synopsys Design Compiler using a 32/28-nm complementary metal-oxide-semiconductor technology. The results show that compared to the accurate array multiplier, one of the proposed approximate array multipliers viz. PAAM01-V7 achieves a 28% reduction in critical path delay, 75.8% reduction in power, and 64.6% reduction in area while enabling the production of a denoised image that is comparable in quality to the image denoised using the accurate array multiplier. The standard design metrics such as critical path delay, total power dissipation, and area of the accurate and approximate multipliers are given, the error parameters of the approximate array multipliers are provided, and the original image, the noisy image, and the denoised images are also depicted for comparison.
URI: https://hdl.handle.net/10356/146916
ISSN: 2079-9292
DOI: 10.3390/electronics10050630
Schools: School of Computer Science and Engineering 
Research Centres: Hardware & Embedded Systems Lab (HESL) 
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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