A Heterogenous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks

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A Heterogenous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks

Author: Lübeck, Konstantin; Bringmann, Oliver
Tübinger Autor(en):
Lübeck, Konstantin
Bringmann, Oliver
Issue year: 2019
Series: Lecture notes in computer science;11479
Verlagsangabe: Cham: Springer
Language: English
Full text: http://dx.doi.org/10.1007/978-3-030-18656-2_20
DDC Classifikation: 004 - Data processing and computer science
Dokumentart: Buch (einzelnes Kapitel)
Published in: Schoeberl M., Hochberger C., Uhrig S., Brehm J., Pionteck T. (eds) Architecture of Computing Systems – ARCS 2019
Page range: 267-280
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