Challenges of emerging memory and memristor based circuits: Nonvolatile logics, IoT security, deep learning and neuromorphic computing
| Title | Challenges of emerging memory and memristor based circuits: Nonvolatile logics, IoT security, deep learning and neuromorphic computing |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Dou, C., Chen, W. H., Chen, Y. J., Lin, H. T., Lin, W. Y., Ho, M. S., Chang, M. F. |
| Conference Name | 2017 IEEE 12th International Conference on ASIC (ASICON) |
| ISBN Number | 978-1-5090-6625-4 |
| Keywords | artificial intelligence, artificial intelligence security, Artificial neural networks, Energy efficiency, Human Behavior, Metrics, Nonvolatile memory, Program processors, pubcrawl, Random access memory, Resiliency, Scalability, security, Very large scale integration |
| Abstract | Emerging nonvolatile memory (NVM) devices are not limited to build nonvolatile memory macros. They can also be used in developing nonvolatile logics (nvLogics) for nonvolatile processors, security circuits for the internet of things (IoT), and computing-in-memory (CIM) for artificial intelligence (AI) chips. This paper explores the challenges in circuit designs of emerging memory devices for application in nonvolatile logics, security circuits, and CIM for deep neural networks (DNN). Several silicon-verified examples of these circuits are reviewed in this paper. |
| URL | http://ieeexplore.ieee.org/document/8252431/ |
| DOI | 10.1109/ASICON.2017.8252431 |
| Citation Key | dou_challenges_2017 |