Energy-Efficient Approximate Floating-Point Multiplier Based on Radix-8 Booth Encoding

Rongyu Ding, Yi Guo, Heming Sun, Shinji Kimura

研究成果: Conference article査読

2 被引用数 (Scopus)


In applications such as digital signal processing and machine learning, the accuracy of internal operations is not so strict due to the limitation of human perception. Approximate computing has been focused as an effective way to trade off energy against accuracy. In this paper, a new type of approximate floating-point (FP) multiplier is proposed by applying radix-8 Booth encoding to the mantissa part. We devise the addition of the triple of multiplicand in radix-8 Booth encoding. Experimental results show the proposed design can achieve significant reduction in area, delay and power up to 66.48%, 23.39% and 69.02% while losing only 0.18% accuracy when compared with the IEEE-754 single precision FP multiplier. The proposed multipliers are applied to image smoothing and image compression and show negligible quality loss.

ジャーナルProceedings of International Conference on ASIC
出版ステータスPublished - 2021
イベント14th IEEE International Conference on ASIC, ASICON 2021 - Kunming, China
継続期間: 2021 10月 262021 10月 29

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 電子工学および電気工学


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