2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AR2021★ 1 cited
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…
cs.LG2019★ 2 cited
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…