Heterogeneous systems - hardware software co-design
Industrial Software Engineering
Sustainable lifestyle and health from a public health perspective
Real-Time Systems Design
Automated Software language and Software engineering
Software Testing Laboratory
Product and Production Development
Model-Based Engineering of Embedded Systems
Formal Modelling and Analysis of Embedded Systems
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.
Project manager at MDH
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.