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Area-Delay-Energy aware SRAM memory cell and M × N parallel read/write memory array design for quantum dot cellular automata

机译:面积延迟能量敏感型SRAM存储单元和M×N并行读写存储阵列,用于量子点元胞自动机

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Quantum dot Cellular Automata (QCA) is an emerging nanotechnology, potentially suitable to replace the popular technologies like Complementary Metal Oxide Semiconductor (CMOS) technology. The evolution of QCA has become prominent due to high operating frequency, nanoscale device and zero current low power nanotechnology. However, the Area-Delay-Energy aware QCA logic circuit design remains a prime concern in this post CMOS technology. In this work the primary attention is given to build efficient QCA circuits. The motivation of this work is to propose Efficient VLSI design in terms of Area, Delay, Power and PDP (Power delay product). Different methodologies are reported to design a combinational and sequential circuit in QCA technology. An extensive focus is given in designing of 3 different QCA based Area-Delay-Energy aware SRAM memory cells, parallel read write M x N SRAM memory array and peripherals like decoder and multiplexer. Since appropriate signal distribution network (SDN) is an essential aspect to deign QCA circuit, it has also been reported a delay aware signal distribution methodology applicable for any type of QCA logic circuit design. The significant results of this research finding are expressed in terms of Area-Delay-Energy dissipation tradeoff. When compared with respective to the state of art, the performance metric of proposed QCA based memory cells are excelled, on an average 40% reduction in area, 33% and 22% drop in delay and energy dissipation respectively are achieved for proposed three different memory cell design. (C) 2019 Elsevier B.V. All rights reserved.
机译:量子点元胞自动机(QCA)是新兴的纳米技术,可能适合替代诸如互补金属氧化物半导体(CMOS)技术之类的流行技术。由于高工作频率,纳米级器件和零电流低功耗纳米技术,QCA的发展变得十分突出。但是,在这种后CMOS技术中,面积延迟能量感知型QCA逻辑电路设计仍然是首要考虑的问题。在这项工作中,主要的注意力是建立有效的QCA电路。这项工作的目的是就面积,延迟,功率和PDP(功率延迟乘积)提出高效的VLSI设计。据报道,采用不同的方法来设计QCA技术中的组合电路和时序电路。在设计3种不同的基于QCA的区域延迟能量感知SRAM存储器单元,并行读写M x N SRAM存储器阵列以及诸如解码器和多路复用器之类的外设时,我们将重点放在了设计上。由于适当的信号分配网络(SDN)是设计QCA电路必不可少的方面,因此也已经报道了一种适用于任何类型的QCA逻辑电路设计的延迟感知信号分配方法。该研究发现的重要结果以面积-延迟-能量耗散的权衡表示。当与现有技术进行比较时,基于QCA的存储单元的性能指标是出色的,对于建议的三种不同的存储,平均面积减少了40%,延迟和能耗分别降低了33%和22%单元设计。 (C)2019 Elsevier B.V.保留所有权利。

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