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 3 of their papers we have counts for

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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…