Deep neural network on field-programmable gate array
US11907828B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 3, 2019 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Sep 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A field programmable gate array (FPGA) may be used for inference of a trained deep neural network (DNN). The trained DNN may comprise a set of parameters and the FPGA may have a first precision configuration defining first number representations of the set of parameters. The FPGA may determine different precision configurations of the trained DNN. A precision configuration of the precision configurations may define second number representations of a subset of the set of parameters. For each precision configuration of the determined precision configurations a bitstream file may be provided. The bitstream files may be stored so that the FPGA may be programmed using one of the stored bitstream files for inference of the trained DNN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.