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Using Deep Learning to Auto-tune GPU Application
The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.
Faculty Supervisor:
Tarek Abdelrahman
Student:
Amir Hossein Ashouri
Partner:
Qualcomm Canada Inc.
Discipline:
Engineering - computer / electrical
Sector:
Information and communications technologies
University:
Program:
Elevate
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