Name
Abstract | ||
|---|---|---|
The world's appetite for analyzing massive amounts of structured and unstructured data has grown dramatically. The computational demands of these abundant-data applications, such as deep learning, far exceed the capabilities of today's computing systems and are unlikely to be met with isolated improvements in transistor or memory technologies, or integrated circuit architectures alone. To achieve ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JPROC.2018.2882603 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Computer architecture,Through-silicon vias,Nonvolatile memory,CNTFETs,Random access memory | Journal | 107 |
Issue | ISSN | Citations |
1 | 0018-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed M. Sabry Aly | 1 | 1 | 2.71 |
| Tony F. Wu | 2 | 51 | 4.59 |
| Andrew Bartolo | 3 | 0 | 0.68 |
| Yash H. Malviya | 4 | 0 | 0.34 |
| William Hwang | 5 | 21 | 2.16 |
| Gage Hills | 6 | 53 | 8.13 |
| Igor L. Markov | 7 | 3858 | 261.98 |
| Mary Wootters | 8 | 172 | 25.99 |
| Max Shulaker | 9 | 53 | 8.60 |
| H.-S. Philip Wong | 10 | 645 | 106.40 |
| Subhasish Mitra | 11 | 3657 | 228.90 |