首页> 外文期刊>IEEE transactions on circuits and systems . I , Regular papers >Analysis of Parasitic Effects in Filamentary-Switching Memristive Memories Using an Approximated Verilog-A Memristor Model
【24h】

Analysis of Parasitic Effects in Filamentary-Switching Memristive Memories Using an Approximated Verilog-A Memristor Model

机译:使用近似Verilog-A忆阻器模型分析丝状切换忆阻存储器中的寄生效应

获取原文
获取原文并翻译 | 示例

摘要

The technology for oxide resistive memories offers nowadays a number of different implementations and solutions. As a consequence, many models have been presented so far, generally technology-specific, representing a problem for the memory design standardization. Moreover, the computational effort can be reduced using memristive models with lower complexity but that grant at the same time good speed and numerical stability. In this paper, the authors try to find a compromise between accuracy and computational costs, proposing a simulation procedure based on a linear approximation of the memristive device model. The description, formally derived from the traditional linear model, has been implemented in Verilog-A and, thanks to the analysis of practical design cases on a reference architecture, has been demonstrated to be useful in highlighting critical parasitic effects related to the interaction of the memristive cells with the memory circuit periphery. Thanks to the approximated method, a computer simulation time saving up to 40% is achieved when simulating a full cross-bar memory device. The model parameters have been extracted from experimental curves obtained from HfO2 devices implemented in a 250-nm BiCMOS IHP technology.
机译:如今,用于氧化物电阻存储器的技术提供了许多不同的实现和解决方案。结果,到目前为止,已经提出了许多模型,通常是特定于技术的,这代表了存储器设计标准化的问题。此外,使用具有较低复杂度的忆阻模型可以减少计算工作量,但同时又具有良好的速度和数值稳定性。在本文中,作者试图找到一种在精度和计算成本之间的折衷方案,并提出了一种基于忆阻器件模型线性近似的仿真程序。该描述正式源自传统线性模型,已在Verilog-A中实施,并且由于对参考体系结构上的实际设计案例进行了分析,因此该描述可用于突出显示与电磁场相互作用有关的关键寄生效应。忆阻单元与存储电路外围。由于采用了这种近似方法,当模拟一个完整的交叉存储设备时,可以节省多达40%的计算机模拟时间。模型参数是从以250 nm BiCMOS IHP技术实现的HfO2器件获得的实验曲线中提取的。

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