DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices

Status:

active

Start date:

2018-02-15

End date:

2021-02-15

DeepMaker aims to provide a framework to generate synthesizable accelerators of Deep Neural Networks (DNNs) that can be used for different FPGA fabrics. DeepMaker enables effective use of DNN acceleration in commercially available devices that can accelerate a wide range of applications without a need of costly FPGA reconfigurations. 

PartnerType
Saab AB, Avionics Systems Industrial
Unibap AB Industrial

Masoud Daneshtalab, Professor

Email: masoud.daneshtalab@mdh.se
Room:
Phone: +4621103111