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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