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
Link To Document :
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