Design of an Approximate 4-2 Compressor with Error Recovery for Efficient Approximate Multiplication

This paper introduces a novel and efficient approximate 4-2 compressor and multipliers that significantly improve overall computation accuracy with marginal hardware overhead. The proposed compressor incorporates an error recovery logic to rectify output errors under specific input conditions. As a result, the proposed multipliers, featuring this error recovery compressor, exhibit substantial improvements in normalized mean error distance (NMED) and mean relative error distance (MRED) by up to 89.8% and 97.1%, respectively, compared to existing approximate multipliers considered in this paper. Furthermore, when implemented in a 32-nm CMOS technology, the proposed designs enable noteworthy reductions of up to 25.2%, 22.9%, and 23.4% in area, power, and energy, respectively, in comparison to the alternative designs. The effectiveness of the proposed design is further validated through its application in a digital image processing algorithm.

Authors

Publication Details

Journal
JSTS Journal of Semiconductor Technology and Science
Published
2024-08-31
DOI
https://doi.org/10.5573/jsts.2024.24.4.305
Citations
2
Primary Topic
Numerical Methods and Algorithms
Type
article
Field-Weighted Citation Impact
0.72
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article

Design of an Approximate 4-2 Compressor with Error Recovery for Efficient Approximate Multiplication

Hyelin Seok, Yongtae Kim, Sungyoun Hwang
2 citations
JSTS Journal of Semiconductor Technology and Science
Numerical Methods and Algorithms
0.72
article

Design of an Approximate 4-2 Compressor with Error Recovery for Efficient Approximate Multiplication

Hyelin Seok, Yongtae Kim, Sungyoun Hwang
article en
2 citations

Abstract

This paper introduces a novel and efficient approximate 4-2 compressor and multipliers that significantly improve overall computation accuracy with marginal hardware overhead. The proposed compressor incorporates an error recovery logic to rectify output errors under specific input conditions. As a result, the proposed multipliers, featuring this error recovery compressor, exhibit substantial improvements in normalized mean error distance (NMED) and mean relative error distance (MRED) by up to 89.8% and 97.1%, respectively, compared to existing approximate multipliers considered in this paper. Furthermore, when implemented in a 32-nm CMOS technology, the proposed designs enable noteworthy reductions of up to 25.2%, 22.9%, and 23.4% in area, power, and energy, respectively, in comparison to the alternative designs. The effectiveness of the proposed design is further validated through its application in a digital image processing algorithm.

JSTS Journal of Semiconductor Technology and ScienceVol. 24(4)
Affordable and clean energy
Openalex Percentile: Top 26%
Numerical Methods and Algorithms
0.72
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