您的浏览器目前处于缩放状态,页面可能会出现错位现象,建议100%大小显示。(快捷键:Ctrl+0)

当前位置:首页 > 图像设计 > 发表快报

Adv. Sci. - 北京航空航天大学张悦教授

发布时间: 2022-5-8 来源: WILEY-VCH

Title: High On/Off Ratio Spintronic Multi-Level Memory Unit for Deep Neural Network

Abstract: Spintronic devices are considered as one of the most promising technologies for non-volatile memory and computing. However, two crucial drawbacks, that is, lack of intrinsic multi-level operation and low on/off ratio, greatly hinder their further application for advanced computing concepts, such as deep neural network (DNN) accelerator. In this paper, a spintronic multi-level memory unit with high on/off ratio is proposed by integrating several series-connected magnetic tunnel junctions (MTJs) with perpendicular magnetic anisotropy (PMA) and a Schottky diode in parallel. Due to the rectification effect on the PMA MTJ, an on/off ratio over 100, two orders of magnitude higher than intrinsic values, is obtained under proper proportion of alternating current and direct current. Multiple resistance states are stably achieved and can be reconfigured by spin transfer torque effect. A computing-in-memory architecture based DNN accelerator for image classification with the experimental parameters of this proposal to evidence its application potential is also evaluated. This work can satisfy the rigorous requirements of DNN for memory unit and promote the development of high-accuracy and robust artificial intelligence applications.

客服:010-86468642