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Design of Convolutional Neural Network Based on FPGA
| Content Provider | Scilit |
|---|---|
| Author | Zhai, Sheping Qiu, Cheng Yang, Yuanyuan Li, Jing Cui, Yiming |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics: Conference Series Recently, FPGAs have been widely used in the implementation of hardware accelerators for CNN, especially on mobile and embedded devices. This paper proposes an FPGA-based CNN accelerator. The highly reusable accelerator function is designed to construct the optimized convolutional neural network and memory optimization with a lower hardware resource consumption. The results show the advantage of performance and power when compared with Core i5 CPU and GTX 960 GPU. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1168/6/062016/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1168/6/062016 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 6 |
| Volume Number | 1168 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-02-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Nuclear Energy and Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |