Non-volatile in-memory computing
The analysis of big-data at exa-scale (1018 bytes or flops) has called for an urgent need to re-examine the existing hardware platform that can support intensive data-oriented computing. A big-data-driven application requires huge bandwidth and yet able to ensure low-power density. For example, web-...
Saved in:
Main Author: | Wang, Yuhao |
---|---|
Other Authors: | Yu Hao |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/62147 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A study on complementary resistive switching charateristics in resistive random access memory for next-generation non-volatile memory technology
by: Zhang, Haizhong
Published: (2017) -
Implied volatility as an estimator or realised volatility an investigation using OTC currency options
by: Chew, Chung Han., et al.
Published: (2008) -
Memristor-based in-memory computing for multilayer artificial neural networks
by: Zhao, Guangchao
Published: (2020) -
Convergence properties of 2-state neural networks with associate memory
by: Lim, Tee Hong.
Published: (2009) -
Neural computation : theory and practice behind brain
by: Wang, Justin Chang Li.
Published: (2010)