Name
Title | ||
|---|---|---|
Towards Reliable In-Memory Computing:From Emerging Devices to Post-von-Neumann Architectures |
Abstract | ||
|---|---|---|
Breakthroughs in Deep neural networks (DNNs) steadily bring new innovations that substantially improve our daily life. However, DNNs overwhelm our existing computer architectures because the latter is largely bottlenecked by the data movement between memory and processing units. As a matter of fact, in the current von-Neumann architecture, which has remained unchanged since the beginning, data rep... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/VLSI-SoC53125.2021.9606966 | 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC) |
Keywords | DocType | ISBN |
In-memory computing,Ferroelectric FETs,Memristors,Brain-Inspired Compuing | Conference | 978-1-6654-2614-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hussam Amrouch | 1 | 251 | 50.22 |
| Nan Du | 2 | 0 | 0.34 |
| Anteneh Gebregiorgis | 3 | 0 | 1.01 |
| Said Hamdioui | 4 | 887 | 118.69 |
| Ilia Polian | 5 | 889 | 78.66 |