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

被引:9
|
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
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
收藏
页码:838 / 842
页数:5
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