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

2 citations · 3 across the 2 of their papers we have counts for

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cs.DC2021

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…