Two Novel Approximate Radix-4 Booth Encoders for Efficient Signed Approximate Booth Multipliers

In this paper, two approximate Radix-4 Booth encoders AR4BE1 and AR4BE2 (Approximate Radix-4 Booth Encoder1, 2) are proposed to achieve great accuracy-cost trade-off, and a series of signed approximation multipliers (SAMs) are designed based on a hybrid coding approach, where the most significant bits (MSB) use exact radix-4 encoder, and the least significant bits (LSB) use the proposed AR4BE1 and AR4BE2. And a simple error compensation circuit is used to reduce the accuracy loss in partial product array reduction. The proposed SAMs can be reconfigured for different applications with different accuracy-cost trade-off requirement. We comprehensively evaluate the SAMs with respect to both hardware implementation and error analysis. Compared to the exact multiplier, the highest accuracy multiplier H10M6L0, has 22.8%, 32.1%, and 18.4% reduction in area, power consumption, and delay, respectively. The case study for image edge detection also proves the validity of the proposed SAMs in error-tolerant application.

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Publication Details

Journal
IEEE Embedded Systems Letters
Published
2025-05-06
DOI
https://doi.org/10.1109/les.2025.3567482
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00

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article

Two Novel Approximate Radix-4 Booth Encoders for Efficient Signed Approximate Booth Multipliers

Xiqin Tang, Delong Shang, Yang Li, Weijia Liu
IEEE Embedded Systems Letters
Low-power high-performance VLSI design
article

Two Novel Approximate Radix-4 Booth Encoders for Efficient Signed Approximate Booth Multipliers

Xiqin Tang, Delong Shang, Yang Li, Weijia Liu
article en

Abstract

In this paper, two approximate Radix-4 Booth encoders AR4BE1 and AR4BE2 (Approximate Radix-4 Booth Encoder1, 2) are proposed to achieve great accuracy-cost trade-off, and a series of signed approximation multipliers (SAMs) are designed based on a hybrid coding approach, where the most significant bits (MSB) use exact radix-4 encoder, and the least significant bits (LSB) use the proposed AR4BE1 and AR4BE2. And a simple error compensation circuit is used to reduce the accuracy loss in partial product array reduction. The proposed SAMs can be reconfigured for different applications with different accuracy-cost trade-off requirement. We comprehensively evaluate the SAMs with respect to both hardware implementation and error analysis. Compared to the exact multiplier, the highest accuracy multiplier H10M6L0, has 22.8%, 32.1%, and 18.4% reduction in area, power consumption, and delay, respectively. The case study for image edge detection also proves the validity of the proposed SAMs in error-tolerant application.

IEEE Embedded Systems LettersVol. 18(1)
Nanjing University of Information Science and Technology (CN), Institute of Microelectronics (SG), Institute of Intelligent Machines (CN), Institute of Microelectronics (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 92%
Low-power high-performance VLSI design
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Two Novel Approximate Radix-4 Booth Encoders for Efficient Signed Approximate Booth Multipliers — Xiqin Tang, Delong Shang, et al. · IEEE Embedded Systems Letters (2025) | TGRS Research Map | TGRS