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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:
Partner:
Qualcomm Canada Inc;University of Toronto
Discipline:
Computer science
Sector:
Information and cultural industries; Manufacturing; Professional, scientific and technical services
University:
University of Toronto
Program:
Elevate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.