DocumentCode
743156
Title
Synthesis of Majority/Minority Logic Networks
Author
Peng Wang ; Niamat, Mohammed Y. ; Vemuru, Srinivasa R. ; Alam, Mansoor ; Killian, Taylor
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Volume
14
Issue
3
fYear
2015
fDate
5/1/2015 12:00:00 AM
Firstpage
473
Lastpage
483
Abstract
As CMOS technology reaches its physical limits, new technologies such as quantum-dot cellular automata, single electron tunneling, and tunneling-phase logic are being proposed as alternatives to CMOS technology. These technologies use either majority or minority logic to implement logic functions. Existing majority/minority logic synthesis methods, based on three-feasible networks, often result in suboptimal solutions. In this paper, an efficient algorithm to find the minimal majority gate mapping, along with a majority expression look-up table (MLUT) is developed. Based on the MLUT, a comprehensive majority/minority logic synthesis technique is proposed. A redundancy removal method is also developed to further optimize the synthesized circuit. This technique makes effort toward achieving different optimization goals and results in fewer majority gates and fewer levels than previous methods. For the 29 MCNC benchmark circuits, when targeted to optimize the logic levels, there is an average reduction of 7.0% in the number of levels as well as 6.3% in the number of gates. For optimization targeted to reduce gate counts, there is an average reduction of 9.5% in the number of gates as well as 0.8% in the number of levels, as compared to the best available method.
Keywords
majority logic; redundancy; table lookup; CMOS technology; majority expression look-up table; majority-minority logic networks; quantum dot cellular automata; redundancy removal method; single electron tunneling; tunneling phase logic; CMOS integrated circuits; CMOS technology; Inverters; Logic functions; Logic gates; Quantum dots; Standards; Logic synthesis; logic synthesis; majority gates; quantum-dot cellular automata (QCA);
fLanguage
English
Journal_Title
Nanotechnology, IEEE Transactions on
Publisher
ieee
ISSN
1536-125X
Type
jour
DOI
10.1109/TNANO.2015.2408330
Filename
7053917
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