Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models

Deep Neural Network (DNN) models are becoming ubiquitous in a variety of contemporary domains such as Autonomous Vehicles, Smart cities and Healthcare. They help drones to navigate, identify suspicious activities from safety cameras, and perform diagnostics over medical imaging. Fast DNN inferencing...

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Bibliographic Details
Published in:Performance evaluation review 2023-06, Vol.51 (1), p.37-38
Main Authors: S.K, Prashanthi, Kesanapalli, Sai Anuroop, Simmhan, Yogesh
Format: Article
Language:English
Subjects:
Architectures
Computer systems organization
Computing methodologies
Embedded and cyber-physical systems
Machine learning
Machine learning approaches
Neural networks
Parallel architectures
Parallel computing methodologies
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