2 citations · 3 across the 2 of their papers we have counts for
3 papers
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers
Michael J. Klaiber, Axel J. Acosta, Ingo Feldner +1
A key issue in system design is the lack of communication between hardware, software and domain expert. Recent research work shows progress in automatic HW/SW co-design flows of ne…
Joint Program and Layout Transformations to enable Convolutional Operators on Specialized Hardware based on Constraint Programming
Dennis Rieber, Axel Acosta, Holger Fröning
The success of Deep Artificial Neural Networks (DNNs) in many domains created a rich body of research concerned with hardware accelerators for compute-intensive DNN operators. Howe…
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models
Michael J. Klaiber, Sebastian Vogel, Axel Acosta +5
End-to-end performance estimation and measurement of deep neural network (DNN) systems become more important with increasing complexity of DNN systems consisting of hardware and so…