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Traditional silicon binary circuits continue to face challenges such as high leakage power dissipation and large area of interconnections. Multiple-Valued Logic (MVL) and nano devices are two feasible solutions to overcome these problems. In this paper, a novel method is presented to design ternary logic circuits based on Carbon Nanotube Field Effect Transistors (CNFETs). The proposed designs use the unique properties of CNFETs, for example, adjusting the Carbon Nanontube (CNT) diameters to have the desired threshold voltage and have the same mobility of P-FET and N-FET transistors. Each of our designed logic circuits implements a logic function and its complementary via a control signal. Also, these circuits have a high impedance state which saves power while the circuits are not in use. In an effort to show a more detailed application of our approach, we design a 2-digit adder-subtractor circuit. We simulate the proposed ternary circuits using HSPICE via standard 32nm CNFET technology. The simulation results indicate the correct operation of the designs under different process, voltage and temperature (PVT) variations. Moreover, a power efficient ternary logic ALU has been design based on the proposed gates.

Low-power designs are a necessity with the increasing demand of portable devices which are battery operated. In many of such devices the operational speed is not as important as battery life. Logic-in-memory structures using nano-devices and adiabatic designs are two methods to reduce the static and dynamic power consumption respectively. Magnetic tunnel junction (MTJ) is an emerging technology which has many advantages when used in logic-in-memory structures in conjunction with CMOS. In this paper, we introduce a novel adiabatic hybrid MTJ/CMOS structure which is used to design AND/NAND, XOR/XNOR and 1-bit full adder circuits. We simulate the designs using HSPICE with 32nm CMOS technology and compared it with a non-adiabatic hybrid MTJ/CMOS circuits. The proposed adiabatic MTJ/CMOS full adder design has more than 7 times lower power consumtion compared to the previous MTJ/CMOS full adder.

This paper investigates the use of carbon nanotube field effect transistors (CNFETs) for the design of ternary full adder cells. The proposed circuits have been designed based on the unique properties of CNFETs such as having desired threshold voltages by adjusting diameter of the CNFETs gate nanotubes. The proposed circuits are examined using HSPICE simulator with the standard 32 nm CNFET technology. The proposed methods are simulated at different conditions such as different supply voltages, different temperature and operational frequencies. Simulation results show that the proposed designs are faster than the state of the art CNFET based ternary full adders.

FIR filters are used in many performance/power critical applications such as mobile communication devices, analogue to digital converters and digital signal processing applications. Design of appropriate FIR filters usually causes the order of filter to be increased. Synthesis and tape-out of high-order FIR filters with reasonable delay, area and power has become an important challenge for hardware designers. In many cases the complexity of high-order filters causes the constraints of the total design could not be satisfied. In this paper, efficient hardware architecture is proposed for distributed arithmetic (DA) based FIR filters. The architecture is based on optimized combination of Look-up Tables (LUTs) and compressors. The optimized system level solution is obtained from a set of dynamic programming optimization algorithms. The experiments show the proposed design educed the delay cost between 16%-62.5% in comparison of previous optimized structures for DA-based architectures.