@inproceedings{c09ae077e58b40adbf10a374e9328d0a,
title = "A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing",
abstract = "ReRAM-based accelerators have emerged as promising accelerators for deep neural networks (DNNs). How-ever, programming every ReRAM cell to its corresponding conductance before inference can be time-consuming and energy-intensive using existing one-by-one/row-by-row programming mechanisms. Although a two-phase multi-row programming scheme has been proposed to enhance programming efficiency, there are situations where multiple rows cannot be programmed together and only row-by-row programming can be employed. Therefore, this paper proposes a new block-based programming architecture for ReRAM crossbars that enables precise control of wordline and bitline transistors. In addition, a block-based programming framework, including the approximation phase and the fine-tuning phase, along with a multi-line programming algorithm and a programming-aware model retraining are proposed to reduce programming cycles and energy consumption. Experimental results demonstrate that our proposed method can reduce programming cycles and energy consumption by 46%-49 % and 63 % -64 %, respectively, compared to the state of the art. Additionally, the area and power overhead are negligible.",
keywords = "ReRAM, neural network, program-and-verify, programming",
author = "Chen, {Wei Lun} and Gul, {Fang Yi} and Lin, {Ing Chao} and Zhang, {Grace Li} and Bing Li and Ulf Schlichtmann",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 42nd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2023 ; Conference date: 28-10-2023 Through 02-11-2023",
year = "2023",
doi = "10.1109/ICCAD57390.2023.10323793",
language = "English",
series = "IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 42nd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2023 - Proceedings",
}