Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm
- Title
- Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm
- Author
- 오새룬터
- Keywords
- device-algorithm co-optimization; in-memory computing; indium gallium zinc oxide thin film transistor (IGZO TFT); neuromorphic; tiki-taka algorithm
- Issue Date
- 2023-10
- Publisher
- Wiley-VCH Verlag
- Citation
- Advanced Science, v. 10, NO. 29, article no. 2303018, Page. 1.0-11.0
- Abstract
- Analog in-memory computing synaptic devices are widely studied for efficient implementation of deep learning. However, synaptic devices based on resistive memory have difficulties implementing on-chip training due to the lack of means to control the amount of resistance change and large device variations. To overcome these shortcomings, silicon complementary metal-oxide semiconductor (Si-CMOS) and capacitor-based charge storage synapses are proposed, but it is difficult to obtain sufficient retention time due to Si-CMOS leakage currents, resulting in a deterioration of training accuracy. Here, a novel 6T1C synaptic device using only n-type indium gaIlium zinc oxide thin film transistor (IGZO TFT) with low leakage current and a capacitor is proposed, allowing not only linear and symmetric weight update but also sufficient retention time and parallel on-chip training operations. In addition, an efficient and realistic training algorithm to compensate for any remaining device non-idealities such as drifting references and long-term retention loss is proposed, demonstrating the importance of device-algorithm co-optimization. © 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.
- URI
- https://www.scopus.com/record/display.uri?eid=2-s2.0-85167424909&origin=inward&txGid=6cea98e47dd3e39c219a64730b9c08afhttps://repository.hanyang.ac.kr/handle/20.500.11754/187674
- ISSN
- 2198-3844;2198-3844
- DOI
- 10.1002/advs.202303018
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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- 108235_오새룬터.pdfDownload
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