most citedAn End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…