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用于模拟计算的任意高精度编程memristor阵列

Wenhao Song^1,2, Mingyi Rao², Yunning Li³

¹Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.

Science (New York, N.Y.)

|February 22, 2024

概括

这项研究引入了一种新的内存计算方法,使用memristors来克服复杂物理系统建模中的精度限制. 这种新方法可以通过低功耗的模拟设备实现高精度的计算,从而提高科学发现.

科学领域:

* 神经形态工程和先进的计算架构.
* 材料科学和固态设备物理.

背景情况:

*内存计算为复杂的物理系统提供了潜力,但面临着噪声和可变性等挑战.
* 这些限制阻碍了高性能计算的可扩展性,准确性和精度.

研究的目的:

* 提出并展示用于高精度内存计算的电路架构和编程协议.
通过在最后一步将结果转换为数字,使低精度模拟设备能够执行高精度的计算.

主要方法:

使用多个memristor设备的加权总和来表示单个数值.
* 实现一个编程协议,后续设备可以弥补先前设备的错误.
在芯片上的系统 (SoC) 上进行实验验证.

主要成果:

* 通过拟议的架构来实现各种科学计算任务的高精度解决方案.
与传统的数字计算方法相比,实现了显著的功率效益.
通过新型编程协议成功补偿模拟设备的不准确性.

结论:

开发的内存计算架构和协议有效地克服了模拟设备的精度限制.
这种方法可实现对复杂科学问题的高性能,高功率计算.
基于memristor的芯片系统显示了科学研究下一代计算的可行途径.

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