Nonvolatile Low-Cost Approximate Spintronic Full Adders for Computing in Memory Architectures

被引:29
|
作者
Rajaei, Ramin [1 ]
Amirany, Abdolah [2 ]
机构
[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA
[2] Shahid Beheshti Univ, Dept Elect Engn, Tehran 1983969411, Iran
关键词
Approximate computing; computing in memory; magnetic tunnel junction (MTJ); spintronic; LOW-POWER; DESIGNS; CELL;
D O I
10.1109/TMAG.2020.2974142
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, four novel approximate full-adder (AXFA) circuits based on the emerging magnetic tunnel junction (MTJ) device is proposed. The proposed magnetic FAs (MFAs) offer full nonvolatility, low area, and considerably lower energy consumption than their previous counterparts. Also, two of the proposed MFAs have the advantage of single event upset (SEU) tolerance. Simulation results reveal that the proposed designs offer over 50% energy efficiency in comparison with the considered previous fully nonvolatile MFAs. Using the proposed adders in the design of an approximate Gaussian filter, we showed that the filtered noisy images have almost the same results as the accurate Gaussian filter. The proposed MFAs have an accurate carry-out output and an approximate sum output with an error distance of 2.
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页数:8
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