Primary speaker:
John DiMarco, IT Director, Department of Computer Science
Additional speakers:
John Hancock, Manager, Research Computing, Faculty of Applied Science and Engineering
Bonnie King, Research Computing Specialist, Acceleration Consortium
Description:
The University of Toronto is one of the world's premier research universities, with consistent, substantial and excellent research output in a wide range of disciplines. Much of that research requires computing, and often, the computing is the research. The rise of AI, due in no small part to the university's own groundbreaking research in machine learning, has made computing even more vital in maintaining research excellence in an increasingly large and diverse number of fields. But research computing differs quite a bit from standard business IT. Assumptions made for enterprise computing may or may not be true for research computing.
Through an engaging lecture-style presentation followed by Q&A, learn from experienced U of T technical staff from research-intensive academic units what research computing is like, how it is different from business computing, and why the difference matters. We will also discuss emerging trends and requirements for research computing and how they may be similar to or different from enterprise IT.
