Design Automation Conference, DAC 2016


Article Details
Title: DeepBurning: automatic generation of FPGA-based learning accelerators for the neural network family
Article URLs:
Alternative Article URLs:
Authors: Ying Wang
  • Chinese Academy of Sciences, Beijing. P.R China, State Key Laboratory of Computer Architecture
  • Chinese Academy of Sciences, Beijing. P.R China, Institute of Computing Technology
Jie Xu
  • Chinese Academy of Sciences, Beijing. P.R China, State Key Laboratory of Computer Architecture
  • Chinese Academy of Sciences, Beijing. P.R China, Institute of Computing Technology
Yinhe Han
  • Chinese Academy of Sciences, Beijing. P.R China, State Key Laboratory of Computer Architecture
  • Chinese Academy of Sciences, Beijing. P.R China, Institute of Computing Technology
Huawei Li
  • Chinese Academy of Sciences, Beijing. P.R China, State Key Laboratory of Computer Architecture
  • Chinese Academy of Sciences, Beijing. P.R China, Institute of Computing Technology
Xiaowei Li
  • Chinese Academy of Sciences, Beijing. P.R China, State Key Laboratory of Computer Architecture
  • Chinese Academy of Sciences, Beijing. P.R China, Institute of Computing Technology
Sharing: Unknown
Verification: Authors have not verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key: conf/dac/WangXHLL16
Author Comments:

Discuss this paper and its artifacts below