首页> 外文期刊>International journal of circuit theory and applications >Case study on memristor-based multilevel memories
【24h】

Case study on memristor-based multilevel memories

机译:基于忆阻器的多层记忆的案例研究

获取原文
获取原文并翻译 | 示例
       

摘要

In this work, the benefits of memristor-based multilevel memories are described along with their design problems. Starting with measurements of discrete actual devices, a discrete memristor-based multilevel memory is developed. It uses a printed circuit board in order to connect eight packaged memristors from Bio Inspired to test a ternary arithmetic logic unit on a field programmable gate array. These circuits are then integrated in the second proposed memory system based on a 150-nm CMOS process that can be equipped with memristors on top of the metal layers. This integrated solution includes proper read-out, erase, and write circuits to control real memristors and 32x32 memristive memory cells. It is compared with a common static random-access memory in terms of area, computation speed, and power consumption showing benefits for memory sizes bigger than 70 words. Because yield and device variations are still a big issue in memristor fabrication, methods to counter these problems are also proposed in the end. An actual implementation should offer several trimming solutions to ensure proper functionality of a prototype memory as well as a power-on calibration, until these problems are solved. The development of the presented memories is not only based on different models but also based on measurements done with real devices. Copyright (c) 2017 John Wiley & Sons, Ltd.
机译:在这项工作中,描述了基于忆阻器的多级存储器的优点及其设计问题。从离散实际器件的测量开始,开发了基于忆阻器的离散多级存储器。它使用印刷电路板连接来自Bio Inspired的八个封装的忆阻器,以测试现场可编程门阵列上的三元算术逻辑单元。然后,将这些电路集成到第二个建议的基于150 nm CMOS工艺的存储系统中,该工艺可以在金属层的顶部配备忆阻器。该集成解决方案包括适当的读出,擦除和写入电路,以控制实际的忆阻器和32x32忆阻存储单元。在面积,计算速度和功耗方面,它与普通的静态随机存取存储器进行了比较,显示出内存大小大于70个字的好处。由于成品率和器件变化仍然是忆阻器制造中的大问题,因此最后还提出了解决这些问题的方法。实际的实现应提供几种修整解决方案,以确保原型存储器的正常功能以及开机校准,直到解决这些问题为止。所提供的存储器的开发不仅基于不同的模型,而且还基于对真实设备进行的测量。版权所有(c)2017 John Wiley&Sons,Ltd.

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