Home /Research /CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems
LEARNING

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems

Fabian Kreß, Vladimir Sidorenko, Patrick Schmidt, Julian Hoefer, Tim Hotfilter, Iris Walter, Tanja Harbaum, Jürgen Becker

Year
2023
Citations
11

Keywords

Computer scienceConvolutional neural networkInferenceEnergy consumptionDistributed computingEmbedded systemWireless sensor networkEfficient energy useArtificial intelligenceReal-time computing

Related papers

Browse all LEARNING papers