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 0001, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner. An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. In Maurizio Martina, William Fornaciari, Federico Reghenzani, editors, INTESA 2019 Proceedings - INTelligent Embedded Systems Architectures and Applications Workshop, New York, NY, USA, October 13-18, 2019. pages 18-22, ACM, 2019. [doi]

Abstract

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