Name
Title | ||
|---|---|---|
Dynamic Path Based DNN Synergistic Inference Acceleration in Edge Computing Environment |
Abstract | ||
|---|---|---|
Deep Neural Networks (DNNs) have achieved excellent performance in intelligent applications. Nevertheless, it is elusive for devices with limited resources to support computationally intensive DNNs, while employing the cloud may lead to prohibitive latency. Better solutions are exploiting edge computing and reducing unnecessary computation. Multi-exit DNN based on the early exit mechanism has an i... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICPADS53394.2021.00076 | 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS) |
Keywords | DocType | ISBN |
Deep learning,Performance evaluation,Directed acyclic graph,Inference mechanisms,Computational modeling,Neural networks,Predictive models | Conference | 978-1-6654-0878-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Zhou | 1 | 0 | 0.34 |
| Bowen Zhou | 2 | 0 | 0.34 |
| Huitian Wang | 3 | 1 | 1.03 |
| Fang Dong | 4 | 202 | 35.44 |
| Zhao Wei | 5 | 23 | 20.57 |