Trends and Challenges in Computing-in-memory for Neural Network Model: A Review from Device Design to Application-side Optimization

K Yu, S Kim, JR Choi - IEEE Access, 2024 - ieeexplore.ieee.org
Neural network models have been widely used in various fields as the main way to solve
problems in the current artificial intelligence (AI) field. Efficient execution of neural network …

[HTML][HTML] Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators

B Yang, J Chen, F Tu - Journal of Semiconductors, 2024 - jos.ac.cn
Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024
machine learning accelerators 2019年JOS入选“中国科技期刊卓越行动计划” 2020年11月JOS被 …

Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks

A Shi, Y Zhang, L Han, Z Zhou, Y Chen… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Non-volatile memory (NVM)-based Computation-in-memory has demonstrated a significant
advantage in high-efficiency neural networks. However, the requirement of analog-to-digital …