Name
Abstract | ||
|---|---|---|
Aging-induced degradation imposes a major challenge to the designer when estimating timing guardbands. This problem increases as traditional worst-case corners bring over-pessimism to designers, exacerbating competitive and close-to-the-edge designs. In this work, we present an accurate machine learning approach for aging-aware cell library characterization, enabling the designer to evaluate their... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCSI.2021.3069664 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | DocType | Volume |
Libraries,Aging,Delays,Foundries,Tools,Degradation,Reliability | Journal | 68 |
Issue | ISSN | Citations |
6 | 1549-8328 | 2 |
PageRank | References | Authors |
0.48 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Klemme | 1 | 9 | 2.39 |
| Hussam Amrouch | 2 | 251 | 50.22 |