LAS-NCS: A Laser-Assisted Spintronic Neuromorphic Computing System

被引：11

作者：

Farkhani, Hooman ^{[1
]}

Prejbeanu, Ioan Lucian ^{[2
]}

Moradi, Farshad ^{[1
]}

机构：

[1] Aarhus Univ, Dept Engn, Integrated Circuits & Elect Lab, DK-8000 Aarhus, Denmark

[2] Univ Grenoble Alpes, SPINTEC, CEA, CNRS, F-38000 Grenoble, France

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2019年 / 66卷 / 05期

关键词：

Neuromorphic computing system; laser; energy efficient; COMSOL multiphysics; MTJ;

D O I：

10.1109/TCSII.2019.2908077

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In spintronic-based neuromorphic computing systems (NCSs), the switching of magnetic moment in a magnetic tunnel junction (MTJ) is used to mimic biological neuron firing. However, the high currents required for MTJ switching will lead to a large energy consumption and low speed operation of the MTJ-based NCSs. In this brief, the energy consumption and the delay of the proposed MTJ-based NCS are reduced by thermally assisting the MTJ switching through a microwatt nanosecond laser pulse. Simulation results show 85.7%, 84%, and 97.8% improvements in energy consumption, delay, and energy-delay product, respectively, for the laser-assisted spin-tronic NCS (LAS-NCS) by heating the MTJs up to 127 degrees C. The energy consumption of the laser pulse for heating up the MTJ stack is 1.2x-2.4x lower than Joule heating method. Moreover, in contrast with Joule heating method, the LAS-NCS does not require MTJ with modified structure.

引用

页码：838 / 842

页数：5

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