AxRMU-2^m: Higher m-bit Approximate Radix-2^m Multiplier Unit

This paper presents the design and evaluation of higher m-bit Approximate Radix-2^m Multiplier Units (AxRMU) with applications in error-tolerant systems. The AxRMU proposal architectures, specifically AxRMU-8 and AxRMU-16, incorporate approximation in generating partial products, reducing the number of logic gates and improving energy efficiency while maintaining acceptable accuracy. A case study using the statistically efficient and fast calibration (StEFCal) algorithm in radio astronomy demonstrates the performance of the AxRMUs in terms of energy, area savings, and computational accuracy. Results show that AxRMU designs outperform state-of-the-art approximate multipliers like DRUM, LoBA, and RoBA, achieving energy savings of up to 98.30% and area savings of up to 91.57%, with minimal mean square error (MSE) trade-offs. These findings highlight the potential of AxRMUs in balancing performance and resource efficiency for applications that can tolerate minor computational inaccuracies.

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Publication Details

Journal
Journal of Integrated Circuits and Systems
Published
2024-12-23
DOI
https://doi.org/10.29292/jics.v19i3.929
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
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article

AxRMU-2^m: Higher m-bit Approximate Radix-2^m Multiplier Unit

Rafael Soares, Morgana Macedo Azevedo da Rosa, Rodrigo Lopes, Eduardo Da Costa
Journal of Integrated Circuits and Systems
Low-power high-performance VLSI design
article

AxRMU-2^m: Higher m-bit Approximate Radix-2^m Multiplier Unit

Rafael Soares, Morgana Macedo Azevedo da Rosa, Rodrigo Lopes, Eduardo Da Costa
article en

Abstract

This paper presents the design and evaluation of higher m-bit Approximate Radix-2^m Multiplier Units (AxRMU) with applications in error-tolerant systems. The AxRMU proposal architectures, specifically AxRMU-8 and AxRMU-16, incorporate approximation in generating partial products, reducing the number of logic gates and improving energy efficiency while maintaining acceptable accuracy. A case study using the statistically efficient and fast calibration (StEFCal) algorithm in radio astronomy demonstrates the performance of the AxRMUs in terms of energy, area savings, and computational accuracy. Results show that AxRMU designs outperform state-of-the-art approximate multipliers like DRUM, LoBA, and RoBA, achieving energy savings of up to 98.30% and area savings of up to 91.57%, with minimal mean square error (MSE) trade-offs. These findings highlight the potential of AxRMUs in balancing performance and resource efficiency for applications that can tolerate minor computational inaccuracies.

Journal of Integrated Circuits and SystemsVol. 19(3)
Universidade Católica de Pelotas (BR), Universidade Federal de Pelotas (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Ministério da Ciência, Tecnologia e Inovação, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul
Openalex Percentile: Top 77%
Low-power high-performance VLSI design
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AxRMU-2^m: Higher m-bit Approximate Radix-2^m Multiplier Unit — Rafael Soares, Morgana Macedo Azevedo da Rosa, et al. · Journal of Integrated Circuits and Systems (2024) | TGRS Research Map | TGRS