Name
Abstract | ||
|---|---|---|
This survey paper summarizes recent progress of deep learning circuits and systems technologies and contains four topics: hardware-centric deep learning algorithms, digital architectures, analog architectures, and system demonstrations. We present an overview of these four areas and introduce key contributions of papers in this special issue. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JETCAS.2019.2918317 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | Field | DocType |
Computer architecture,Deep learning,Hardware,Circuits and systems,Bandwidth,Computational modeling,Neural networks | Computer science,In-Memory Processing,Electronic engineering,Distributed learning,Artificial intelligence,Deep learning,Electronic circuit,Neural network hardware,Artificial neural network,Multimedia,Approximate computing | Journal |
Volume | Issue | ISSN |
9 | 2 | 2156-3357 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Yu Chen | 1 | 5 | 2.13 |
| Boris Murmann | 2 | 594 | 82.64 |
| Jae-sun Seo | 3 | 536 | 56.32 |
| Hoi-Jun Yoo | 4 | 1574 | 226.79 |