New High Performance 1-Bit Full Adder Using Domino Logic

Author

Verma, Shekhar ; Kumar, Dhirendra ; Marwah, Gaganpreet Kaur

Author_Institution

Lovely Prof. Univ., Phagwara, India

fYear

2014

Firstpage

961

Lastpage

965

Abstract

Domino CMOS Circuits are significantly used in high performance very large scale integrated (VLSI) system. Designing a low power with high speed performance VLSI circuit is one of the challenging aspects. Full adder is one of the basic blocks for many circuits for multiplication, division and exponentiation operation. This paper proposed a low power with high speed performance 1-bit full adder using domino approach and also shows a comparative analysis of proposed full adder with other full adder using static approach. The simulations are carried out by TANNER EDA tool using PTM 90nm technology node with 1.1V supply voltage. The results show that the proposed 22T domino full adder consume 54.74% less power as compared to 10T static full adder, 54.35% less power consumed as compared to domino 27T full adder and 3.2% less power consumed as compared to 28T static full adder. The results also depict that the speed of a proposed 22T domino full adder is much faster in comparison to 28T static full adder by 68.163%, 1.70% faster as compared to 27T domino full adder and 99% faster as compared to 10T static full adder.

Keywords

VLSI; adders; integrated circuit design; low-power electronics; 10T static full adder; 22T domino full adder; 28T static full adder; PTM technology node; TANNER EDA tool; division operation; domino 27T full adder; domino CMOS circuits; exponentiation operation; high speed performance VLSI circuit; low power design; multiplication operation; size 90 nm; static approach; very large scale integrated system; voltage 1.1 V; word length 1 bit; Adders; CMOS integrated circuits; Delays; Logic gates; Power demand; Transistors; Very large scale integration; Large Scale integration (VLSI); Power delay product (PDP); complementary metal oxide semiconductor (CMOS);

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Communication Networks (CICN), 2014 International Conference on

Print_ISBN

978-1-4799-6928-9

Type

conf

DOI

10.1109/CICN.2014.203

Filename

7065623