Text

Behavioral medicine, health and lifestyle (BeMe-Health)

Care, Recovery and Health

Heterogeneous systems - hardware software co-design

Model-Based Engineering of Embedded Systems

Normcritical perspectives in the research into social vulnerability

PREVIVE

Product and Production Development

Real-Time Systems Design

Sustainable lifestyle and health from a public health perspective

Artificial Intelligence och Intelligent Systems

Industrial Software Engineering

Information Design

DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices

DeepMaker aims to provide a framework to generate synthesizable accelerators of Deep Neural Networks (DNNs) that can be used for different FPGA fabrics.

Concluded

Start

2018-02-15

Conclusion

2021-02-15

Project manager at MDU

No partial template found

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.