Name
Abstract | ||
|---|---|---|
Computing systems have been facing severe technology challenges in recent years with regard to power consumption, circuit reliability, and high performance. For many years, the issues of power consumption and performance have been addressed with the use of technology scaling.However, as Dennard’s scaling tends toward an end, it has become difficult to further improve the performance under the same... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JPROC.2020.2975522 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Special issues and sections,Neural networks,Adversarial machine learning,CMOS technology,Power system reliability,Energy consumption | Journal | 108 |
Issue | ISSN | Citations |
3 | 0018-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiqiang Liu | 1 | 17 | 8.24 |
| Maximilian John | 2 | 0 | 0.34 |
| Andreas Karrenbauer | 3 | 133 | 20.21 |
| Adam Allerhand | 4 | 0 | 1.35 |
| Fabrizio Lombardi | 5 | 1 | 1.74 |
| Michael Shulte | 6 | 0 | 0.34 |
| David J. Miller | 7 | 421 | 60.29 |
| zhen xiang | 8 | 29 | 7.52 |
| George Kesidis | 9 | 293 | 38.77 |
| Antti Oulasvirta | 10 | 3131 | 217.78 |
| Niraj Ramesh Dayama | 11 | 5 | 4.81 |
| Morteza Shiripour | 12 | 0 | 0.34 |