Low Power Multiplier using Approximate Compressor for Error Tolerant Applications
Balaji M1, Vishal Gundavarapu2, Sasipriya P3, Kanchana Bhaaskaran V S4
1Balaji M, Department of Electrical Engineering, VIT, Chennai (Tamil Nadu), India.
2Vishal Gundavarapu, Department of Electrical Engineering, VIT, Chennai (Tamil Nadu), India.
3Sasipriya P, Department of Electrical Engineering, VIT, Chennai (Tamil Nadu), India.
4Kanchana Bhaaskaran V S, Department of Electronics Engineering, VIT, Chennai (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 319-324 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10601291S319/19©BEIESP | DOI: 10.35940/ijeat.A1060.1291S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Approximate or inexact computing has gained a significant amount of attention for error tolerant systems such as signal processing and image processing applications. In this paper, a comprehensive analysis and evaluation of multipliers realized using the existing approximate 4-2 compressors towards achieving low power has been presented. 8-bit Dadda multiplier has been chosen and the power consumption comparison has been performed. The exact multiplier has also been realized to enable the calculation of power savings for the approximate multipliers. An image compression algorithm using approximate multipliers has been implemented to analyze the operability of the approximate multipliers. Accuracy of the approximate multipliers has also been computed by means of Normalized Error Distance (NED) and PSNR. All the circuits are designed using 45nm CMOS process technology and simulations are carried out using Cadence® Virtuoso design tools.
Keywords: 4-2 Compressor, Approximate Compressor, Dadda Multiplier, Low Power Multiplier.
Scope of the Article: Low-power design