Name
Title | ||
|---|---|---|
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. |
Abstract | ||
|---|---|---|
With the recent advancement of multilayer convolutional neural networks (CNNs) and fully connected networks (FCNs), deep learning has achieved amazing success in many areas, especially in visual content understanding and classification. To improve the performance and energy efficiency of the computation-demanding CNN, the FPGA-based acceleration emerges as one of the most attractive alternatives. ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCAD.2017.2785257 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Field programmable gate arrays,Acceleration,Graphics processing units,Engines,Kernel,Bandwidth,Machine learning | Journal | 38 |
Issue | ISSN | Citations |
11 | 0278-0070 | 16 |
PageRank | References | Authors |
0.86 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Zhang | 1 | 603 | 26.75 |
| Guangyu Sun | 2 | 1920 | 111.55 |
| Zhenman Fang | 3 | 214 | 17.26 |
| Peipei Zhou | 4 | 119 | 7.49 |
| Peichen Pan | 5 | 243 | 22.23 |
| Jason Cong | 6 | 7069 | 515.06 |