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2025 | OriginalPaper | Chapter

Low Power Low Area Approximate Multipliers with New Compressors

Authors : N. Bhuvan Praneeth, N. Krishna Priya, K. Sandhya, Sarada Musala

Published in: Proceedings of Third International Conference on Computational Electronics for Wireless Communications

Publisher: Springer Nature Singapore

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Abstract

In several applications where exact computation is not essential, approximate computing is a developing paradigm for sacrificing computing accuracy to save energy and simplify design complexity. This brief presents a low-power, low-area approximate multiplier with a new compressor design. The proposed multiplier handles the component that is least crucial as a fixed compensating term. The second half features a carefully considered hardware–accuracy trade-off that is tremendously powerful. Efficiency is provided. The proposed multiplier is simulated using CADENCE with 18 nm FinFET technology. Compared to the current approximation designs, the proposed design 1 significantly reduces transistor count by 2.05% and power on average by 1.9%, and the proposed design 2 significantly reduces power on average by 3.9% and transistor count by 9.51%. As a result, these designs can be an efficient replacement for exact multipliers in real-world applications that are error-tolerant.

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Momeni A, Han J, Montuschi P, Lombardi F (2015) Design and analysis of approximate compressors for multiplication. IEEE Trans Comput 64(4):984–994MathSciNetCrossRef

Esposito D, Strollo AGM, Napoli E, De Caro D, Petra N (2018) Approximate multipliers based on new approximate compressors. IEEE Trans Circuits Syst I Regul Pap 65(12):4169–4182

Ahmadinejad M, Moaiyeri MH (2022) Energy- and quality-efficient approximate multipliers for neural network and image processing applications. IEEE Trans Emerg Topics Comput 10(2):1105–1116. https://doi.org/10.1109/TETC.2021.3072666

Sabetzadeh F, Moaiyeri MH (2023) An ultra-efficient approximate multiplier with error compensation for error-resilient applications. IEEE Trans Circuits Syst II Express Briefs 70(2)

Arasteh A, Moaiyeri MH, Taheri M, Navi K, Bagherzadeh N (2018) An energy and 4 efficient 4:2 compressor based on FinFET. Integr VLSI J 60:224–231CrossRef

Strollo AGM, De Caro D, Napoli E, Petra N, Di Meo G (2020) Low-power approximate multiplier with error recovery using a new approximate 4–2 compressor. In: Proceedings of the IEEE international symposium on circuits and systems, pp 1–4

Pei H, Yi X, Zhou H, He Y (2021) Design of ultra-low power consumption approximate 4–2 compressors based on the compensation characteristic. IEEE Trans Circuits Syst II Express Briefs 68(1):461–465

Kumar UA, Chatterjee SK, Ahmed SE (2022) Low-power compressor-based approximate multipliers with error correcting module. IEEE Embedded Syst Lett 14(2):59–62. https://doi.org/10.1109/LES.2021.3113005CrossRef

Ansari MS, Jiang H, Cockburn BF, Han J (2018) Low-power approximate multipliers using encoded partial products and approximate compressors. IEEE J Emerg Sel Topics Circuits Syst 8(3):404–416CrossRef

10.

Pilipović R, Bulić P, Lotrić U (2021) A two-stage operand trimming approximate logarithmic multiplier. IEEE Trans Circuits Syst I Regul Pap 68(6):2535–2545

11.

Leon V, Zervakis G, Soudris D, Pekmestzi K (2018) Approximate hybrid high radix encoding for energy-efficient inexact multipliers. IEEE Trans Very Large Scale Integr (VLSI) Syst 26(3):421–430

12.

Leon V, Asimakopoulos K, Xydis S, Soudris D, Pekmestzi K (2019) Cooperative arithmetic-aware approximation techniques for energy-efficient multipliers. In: Proceedings of the 56th annual design automation conference (DAC), pp 1–6

13.

Waris H, Wang C, Xu C, Liu W (2022) AxRMs: approximate recursive multipliers using high-performance building blocks. IEEE Trans Emerg Topics Comput 10(2):1229–1235

14.

Strollo AGM, Napoli E, De Caro D, Petra N, Saggese G, Di Meo G (2022) Approximate multipliers using static segmentation: error analysis and improvements. IEEE Trans Circuits Syst I Regul Pap 69(6):2449–2462

15.

Liu W, Xu J, Wang D, Wang C, Montuschi P, Lombardi F (2018) Design and evaluation of approximate logarithmic multipliers for low power error-tolerant applications. IEEE Trans Circuits Syst I Regul Pap 65(9):2856–2868

16.

Yin P, Wang C, Waris H, Liu W, Han Y, Lombardi F (2021) Design and analysis of energy-efficient dynamic range approximate logarithmic multipliers for machine learning. IEEE Trans Sustain Comput 6(4):612–625

17.

Ha M, Lee S (2018) Multipliers with approximate 4–2 compressors and error recovery modules. IEEE Embedded Syst Lett 10(1):6–9CrossRef

Title: Low Power Low Area Approximate Multipliers with New Compressors
Authors: N. Bhuvan Praneeth
N. Krishna Priya
K. Sandhya
Sarada Musala
Publisher: Springer Nature Singapore
Book: Proceedings of Third International Conference on Computational Electronics for Wireless Communications
Print ISBN: 978-981-9719-42-6

Electronic ISBN: 978-981-9719-43-3

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-981-97-1943-3_1