Digital computing-in-memory design for neural networks
With the rapid development of artificial intelligence application technology, a large amount of data transmission between the central processor and the storage circuit is recognized as the biggest bottleneck in the current traditional von Neumann computer architecture. As one of the most successful...
Saved in:
Main Author: | Cheng, Guanyu |
---|---|
Other Authors: | Kim Tae Hyoung |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/173845 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
LEARNING AND MEMORY IN NEURAL NETWORKS
by: ZHANG XIAOYU
Published: (2017) -
Ultra-high-speed accelerator architecture for convolutional neural network based on processing-in-memory using resistive random access memory
by: Wang, Hongzhe, et al.
Published: (2023) -
Cognitive Learning and Memory Systems Using Spiking Neural Networks
by: HU JUN
Published: (2014) -
Universal self-correcting computing with disordered exciton-polariton neural networks
by: Xu, Huawen, et al.
Published: (2020) -
Decoupled neural network training with re-computation and weight prediction
by: Peng, Jiawei, et al.
Published: (2023)