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  • 标题:Compressor based approximate multiplier architectures for media processing applications
  • 本地全文:下载
  • 作者:Uppugunduru Anil Kumar ; Syed Ershad Ahmed
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2021
  • 卷号:11
  • 期号:4
  • 页码:2953-2961
  • DOI:10.11591/ijece.v11i4.pp2953-2961
  • 语种:English
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:Approximate computing is an attractive technique to gain substantial improvement in the area, speed, and power in applications where exact computation is not required. This paper proposes two improved multiplier designs based on a new 4:2 approximate compressor circuit to simplify the hardware at the partial product reduction stage. The proposed multiplier designs are targeted towards error-tolerant applications. Exhaustive error and hardware analysis has been carried out on the existing and proposed multiplier designs. The results prove that the proposed approximate multiplier architecture performs better than the existing architectures without significant compromise on quality metrics. Experimental results show that die-area and power consumed are reduced upto 28%, and 25.29% respectively in comparison with the existing designs without significant compromise on accuracy.
  • 关键词:approximate computing multiplier;compressor partial product generation;partial product reduction
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