Small-Area and Low-Power FPGA-Based Multipliers using Approximate Elementary Modules

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Approximate multiplier design is an effective technique to improve hardware performance at the cost of accuracy loss. The current approximate multipliers are mostly ASIC-based and are dedicated for one particular application. In contrast, FPGA has been an attractive choice for many applications, because of its high performance, reconfigurability, and fast development. This paper presents a novel methodology for designing approximate multipliers by employing the FPGA-based fabrics. The area and latency are significantly reduced by cutting the carry propagation path in the multiplier. Moreover, we explore higher-order multipliers on architectural space by using our proposed small-size approximate multipliers as elementary modules. For different accuracy requirements, eight configurations for approximate 8 × 8 multiplier are discussed. In terms of mean relative error distance (MRED), the accuracy loss of the proposed 8 × 8 multiplier is low as 0.17%. Compared with the exact multiplier, our proposed design can reduce area by 43.66% and power by 20.36%. The critical path latency reduction is up to 27.66%. The proposed multiplier design has a better accuracy-hardware tradeoff than other designs with com-parable accuracy.

本文言語English
ホスト出版物のタイトルASP-DAC 2020 - 25th Asia and South Pacific Design Automation Conference, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ599-604
ページ数6
ISBN(電子版)9781728141237
DOI
出版ステータスPublished - 2020 1
イベント25th Asia and South Pacific Design Automation Conference, ASP-DAC 2020 - Beijing, China
継続期間: 2020 1 132020 1 16

出版物シリーズ

名前Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
2020-January

Conference

Conference25th Asia and South Pacific Design Automation Conference, ASP-DAC 2020
CountryChina
CityBeijing
Period20/1/1320/1/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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