Method and apparatus for data processing

Scheduling the execution of neural networks in a computing environment. A model for predicting the execution characteristics of neural networks is provided. Input data representing one or more traits of neural network is obtained and processed using the model to generate prediction data including de...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Vasileios Laganakos, Mark Richard Nutter
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Scheduling the execution of neural networks in a computing environment. A model for predicting the execution characteristics of neural networks is provided. Input data representing one or more traits of neural network is obtained and processed using the model to generate prediction data including determinations of one or more execution characteristics of the neural network. The neural network is then scheduled for execution in a computing environment based on the prediction data. A computer-implemented and system for training the model to predict the one or more execution characteristics of neural networks is also provided.