Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading

Deep neural networks (DNN) are the de-facto solution behind many intelligent applications of today, ranging from machine translation to autonomous driving. DNNs are accurate but resource-intensive, especially for embedded devices such as mobile phones and smart objects in the Internet of Things. To...

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Bibliographic Details
Main Authors: Mohammed, Thaha, Joe-Wong, Carlee, Babbar, Rohit, Francesco, Mario Di
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Cloud computing
Computational modeling
Convolution
distributed algorithm
Distributed algorithms
DNN inference
Internet of Things
matching game
Task analysis
task offloading
task partitioning
Online Access:Request full text
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