Name
Abstract | ||
|---|---|---|
Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement DNNs on a specific FPGA platform for a given cost criterion, e.g., energy efficiency, an enormous amount of design parameters must be considered from the topology down to the final hardware implementation. Interdependenc... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/FPL53798.2021.00069 | 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) |
Keywords | DocType | ISSN |
Energy consumption,Network topology,Throughput,Hardware,Libraries,Natural language processing,Topology | Conference | 1946-1488 |
ISBN | Citations | PageRank |
978-1-6654-3759-2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonas Ney | 1 | 0 | 1.35 |
| Dominik Loroch | 2 | 0 | 0.34 |
| Vladimir Rybalkin | 3 | 15 | 4.20 |
| Nico Weber | 4 | 0 | 0.34 |
| Jens Harald Krüger | 5 | 1081 | 93.88 |
| Norbert Wehn | 6 | 1165 | 137.17 |