Invention Grant
- Patent Title: Combining CPU and special accelerator for implementing an artificial neural network
-
Application No.: US15247956Application Date: 2016-08-26
-
Publication No.: US10802992B2Publication Date: 2020-10-13
- Inventor: Jincheng Yu , Song Yao
- Applicant: Deephi Technology Co., Ltd.
- Applicant Address: CN Beijing
- Assignee: XILINX TECHNOLOGY BEIJING LIMITED
- Current Assignee: XILINX TECHNOLOGY BEIJING LIMITED
- Current Assignee Address: CN Beijing
- Agency: IPro, PLLC
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@1a3ba433 com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@5de4baf1
- Main IPC: G06N3/06
- IPC: G06N3/06 ; G06F13/10 ; G06F13/28 ; G06N3/04 ; G06N3/063 ; G06N3/08
Abstract:
The present invention relates to artificial neural network (ANN), for example, convolutional neural network (CNN). In particular, the present invention relates to how to implement and optimize a convolutional neural network based on an embedded FPGA. Specifically, it proposes a CPU+FPGA heterogeneous architecture to accelerate ANNs.
Public/Granted literature
- US20180046913A1 COMBINING CPU AND SPECIAL ACCELERATOR FOR IMPLEMENTING AN ARTIFICIAL NEURAL NETWORK Public/Granted day:2018-02-15
Information query
