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"An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural ..."

Michael J. Klaiber et al. (2019)

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DOI: 10.1145/3372394.3372396

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

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Michael J. Klaiber, Sebastian Vogel, Axel Acosta, 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. INTESA 2019: 18-22

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