Li Yunning, Song Wenhao, Wang Zhongrui, Jiang Hao, Yan Peng, Lin Peng, Li Can, Rao Mingyi, Barnell Mark, Wu Qing, Ganguli Sabyasachi, Roy Ajit K, Xia Qiangfei, Yang J Joshua
Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Adv Mater. 2023 Sep;35(37):e2206648. doi: 10.1002/adma.202206648. Epub 2022 Dec 15.
The increasing interests in analog computing nowadays call for multipurpose analog computing platforms with reconfigurability. The advancement of analog computing, enabled by novel electronic elements like memristors, has shown its potential to sustain the exponential growth of computing demand in the new era of analog data deluge. Here, a platform of a memristive field-programmable analog array (memFPAA) is experimentally demonstrated with memristive devices serving as a variety of core analog elements and CMOS components as peripheral circuits. The memFPAA is reconfigured to implement a first-order band pass filter, an audio equalizer, and an acoustic mixed frequency classifier, as application examples. The memFPAA, featured with programmable analog memristors, memristive routing networks, and memristive vector-matrix multipliers, opens opportunities for fast prototyping analog designs as well as efficient analog applications in signal processing and neuromorphic computing.
如今，人们对模拟计算的兴趣与日俱增，这就需要具有可重构性的多功能模拟计算平台。由忆阻器等新型电子元件推动的模拟计算进步，已展现出在模拟数据海量涌现的新时代满足计算需求指数级增长的潜力。在此，实验展示了一个忆阻型现场可编程模拟阵列（memFPAA）平台，其中忆阻器件用作各种核心模拟元件，CMOS 组件用作外围电路。作为应用示例，memFPAA 被重新配置以实现一阶带通滤波器、音频均衡器和声学混频分类器。memFPAA 具有可编程模拟忆阻器、忆阻路由网络和忆阻向量矩阵乘法器，为模拟设计的快速原型制作以及信号处理和神经形态计算中的高效模拟应用开辟了机会。
