Ultra-high-speed accelerator architecture for convolutional neural network based on processing-in-memory using resistive random access memory

• المؤلفون الرئيسيون: Wang, Hongzhe, Wang, Junjie, Hu, Hao, Li, Guo, Hu, Shaogang, Yu, Qi, Liu, Zhen, Chen, Tupei, Zhou, Shijie, Liu, Yang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; RRAM; Convolutional Neural Network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169464
• المؤسسة: Nanyang Technological University

Processing-in-Memory (PIM) based on Resistive Random Access Memory (RRAM) is an emerging acceleration architecture for artificial neural networks. This paper proposes an RRAM PIM accelerator architecture that does not use Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs). A...