"Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?"

Eriko Nurvitadhi et al. (2017)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2017-10-11

- view
  - electronic edition @ acm.org
- export record
  dblp key:
  - conf/fpga/NurvitadhiVSMHH17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fpga/NurvitadhiVSMHH17
Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, Debbie Marr, Randy Huang, Jason Ong Gee Hock, Yeong Tat Liew, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra, Guy Boudoukh:
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA 2017: 5-14

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.