Quantum-dot cellular automata (QCA) technology is one of the emerging technologies that can be used for replacing CMOS technology. It has attracted significant attention in the recent years due to its extremely low power dissipation, high operating frequency, and a small size. In this study, we demonstrate an n-bit parity generator circuit by utilizing QCA technology. Here, a novel XOR gate is used in the synthesis of the proposed circuit. The proposed gate is based on electrostatic interactions between cells to perform the desired function. The comparison results demonstrate that the designed QCA circuits have advantages compared to other circuits in terms of cell count, area, delay, and power consumption. The QCADesigner software, as widely used QCA circuit design and verification, has been used to implement and to verify all of the designs in this study. Power dissipation has been computed for the proposed circuit using accurate QCAPro power estimator tool.
Driven by the importance of energy consumption in system-on-chip design as an evaluation factor, this paper presents a design methodology at the system level to optimize power consumption on ARM-based architecture for real-time video processing. The proposed design flow is based on the interaction between the tool and user optimizations. The tool optimizations are the options and best practices available on the integrated design environment for the Xilinx technology and the target Zynq-7000 architecture. The user methods present methods proposed by the user to optimize power consumption. We used the principles of voltage scaling and frequency scaling techniques for user methods. These two techniques allow energy to be consumed in the proportion of work to be done. The suggested flow is applied on real-time video processing system. The results show power savings for up to 60% with respect to performance and real-time constraints.
The continuous market demands for high performance and energy-efficient computing systems have steered the computational paradigm and technologies towards nanoscale quantum-dot cellular automata (QCA). In this paper, novel energy- and area-efficient QCA-based adder/subtractor designs have been proposed. First, a QCA-based 3-input XOR gate is designed and then a full adder and a full subtractor are realized. The power consumption of the proposed design was tested via the QCAPro estimator tool with different kind of energy (γ = 0.5 Ek, γ = 1.0 Ek, and γ = 1.5 Ek) at temperature T = 2 in Kelvin. QCADesigner 2.0.03 software was applied to evaluate the simulation results of the proposed designs. The proposed design has better complexity than the conventional designs in terms of cell count, area, and power dissipation.
Quantum dot cellular automata (QCA) is a hopeful technology in the field of nanotechnology that seems to suite well with signal-processing needs. It is concerned with great interest because of its benefits such as ultra-low power consumption, small size and can operate at one Terahertz. The multiply accumulator (MAC) unit is considered as one of the essential operations in digital signal processing (DSP). In the real-time DSP systems, several applications like speech processing, video coding, and digital filtering etc. require MAC operations. However, the power dissipation and area are the most significant aspects in these systems. Here, the authors design low power MAC unit based on QCA technology. QCADesigner version 2.0.3 is used to validate the accuracy of the proposed circuit. The reliability of this unit is taken at different temperatures. The power dissipation is estimated using QCAPro tool. The total power consumed by this unit is 2.183 μW. The proposed circuit has 90% improvement in terms of power over complementary metal-oxide-semiconductor (CMOS) circuits. Since the works in the field of QCA logic signal processing has started to progress, the suggested contribution will give rise to a new thread of research in the field of real-time signal and image treatment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.