首页> 外文会议>IEEE International Conference on Electronics, Computing and Communication Technologies >Analysis of MTJ Based Ternary Content Addressable Memory With and Without Match-Line Pre-Charge
【24h】

Analysis of MTJ Based Ternary Content Addressable Memory With and Without Match-Line Pre-Charge

机译:具有和不具有匹配线预充电的基于MTJ的三态内容可寻址存储器的分析

获取原文

摘要

The intent of this paper is to analyze the working of the Magnetic Tunnel Junction (MTJ) based Ternary Content Addressable Memory (TCAM) with and without the match-line (ML) pre-charge. The designs of the memory with MTJs that have been implemented by previous researchers have made use of ML pre-charge. In this paper, for performance comparison, three different TCAM cells have been implemented - one with ML pre-charge (PC) and the other two, namely Self-Controlled Pre-charge free (SCPF) and Hybrid SCPF (HSCPF), without ML pre-charge. The designs were simulated on Cadence Virtuoso design tool using CMOS 180 nm technology with a supply voltage of 3 V. Arrays of different sizes for all three circuits were simulated and compared with respect to delay, area and power. The study revealed that, for an 8X16 array, the delay for SCPF and HSCPF is 79.77% and 25013.5% more than that of PC circuit, area occupied is 98.65% and 38.04% more than that of PC Circuit. Power consumed for SCPF and HSCPF arrays is 125.38% and 7.5% more than that of PC Circuit. This is in contrast to the Static Random Access Memory (SRAM) based TCAM circuits where power and delay for SCPF and HSCPF circuits is lesser than that of PC circuit.
机译:本文的目的是分析带有和不带有匹配线(ML)预充电的基于磁隧道结(MTJ)的三元内容可寻址存储器(TCAM)的工作。以前的研究人员已经实现了带有MTJ的存储器设计,该设计利用了ML预充电。在本文中,为了进行性能比较,已实现了三种不同的TCAM单元-一种带有ML预充电(PC),另一种是无ML的自控预充电(SCPF)和混合SCPF(HSCPF)预充电。在Cadence Virtuoso设计工具上使用CMOS 180 nm技术,电源电压为3 V对设计进行了仿真。对所有三个电路的不同尺寸的阵列进行了仿真,并就延迟,面积和功率进行了比较。研究显示,对于8X16阵列,SCPF和HSCPF的延迟比PC电路大79.77%和25013.5%,占用面积比PC电路大98.65%和38.04%。 SCPF和HSCPF阵列的功耗分别比PC Circuit的功耗高125.38%和7.5%。这与基于静态随机存取存储器(SRAM)的TCAM电路相反,后者的SCPF和HSCPF电路的功率和延迟小于PC电路的功率和延迟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号