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Magnetic Domain Wall Based Synaptic and Activation Function Generator for Neuromorphic Accelerators.
Nano Letters ( IF 9.6 ) Pub Date : 2020-01-06 , DOI: 10.1021/acs.nanolett.9b04200
Saima A Siddiqui 1 , Sumit Dutta 1 , Astera Tang 2 , Luqiao Liu 1 , Caroline A Ross 2 , Marc A Baldo 1
Affiliation  

Magnetic domain walls are information tokens in both logic and memory devices and hold particular interest in applications such as neuromorphic accelerators that combine logic in memory. Here, we show that devices based on the electrical manipulation of magnetic domain walls are capable of implementing linear, as well as programmable nonlinear, functions. Unlike other approaches, domain-wall-based devices are ideal for application to both synaptic weight generators and thresholding in deep neural networks. Prototype micrometer-size devices operate with 8 ns current pulses and the energy consumption required for weight modulation is ≤16 pJ. Both speed and energy consumption compare favorably to other synaptic nonvolatile devices, with the expected energy dissipation for scaled 20 nm devices close to that of biological neurons.

中文翻译:

基于磁畴壁的神经形态加速器的突触和激活函数发生器。

磁畴壁是逻辑和存储设备中的信息令牌,在诸如将存储器中的逻辑组合在一起的神经形态加速器之类的应用中特别引起关注。在这里,我们表明基于磁畴壁的电操纵的设备能够实现线性以及可编程的非线性功能。与其他方法不同,基于域墙的设备非常适合应用于突触权重生成器和深度神经网络中的阈值处理。微米级原型设备以8 ns的电流脉冲工作,重量调制所需的能量消耗≤16 pJ。速度和能量消耗均优于其他突触非易失性设备,缩放后的20 nm设备的预期能量耗散接近生物神经元。
更新日期:2020-01-06
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