University of Toronto – U of T receives $52 million to upgrade SciNet supercomputer

The University of Toronto will receive more than $52 million to upgrade one of the fastest supercomputers in Canada – a shared resource housed at U of T that allows researchers across the country to address key challenges in areas such as health care, drug discovery, sustainable transportation, AI and advanced manufacturing.

In a recent announcement, the Digital Research Alliance of Canada – a non-profit organization funded by the Canadian government – and the Government of Ontario committed to investing more than $95 million into advanced research computing (ARC) in Ontario at host sites at U of T and the University of Waterloo. 

From left: Charmaine Dean, Timothy Chan, Bryan May, Nolan Quinn, George Ross, Bardish Chagger, Ranil Sonnadara and Eleanor McMahon (supplied image)

The more than $52 million earmarked for U of T’s SciNet – which includes matching funds from the province and Compute Ontario – will go toward replacing the Niagara supercomputer with a new computer network with roughly three times the raw computing power, more GPU capacity and storage boosted by an estimated 80 per cent.

“This computational infrastructure is critical for our community and for the Canadian research community at large – from the biomedical sciences to aerospace manufacturing,” said Timothy Chan, U of T’s associate vice-president and vice-provost, strategic initiatives and a professor in the department of mechanical and industrial engineering in the Faculty of Applied Science & Engineering. 

“It supports research in all fields, plus users benefit from the extensive education and training programming offered by SciNet.”

He added that the investment supports Canada’s desire to lead in advanced technologies, and that it comes on the heels of U of T University Professor Emeritus Geoffrey Hinton being awarded the 2024 Nobel Prize in Physics for laying the foundations for today’s AI boom through his seminal work on deep learning.

“By expanding Canada’s supercomputing capabilities, we ensure that the country continues to excel in science and research while staying competitive on the global stage,” François-Phillipe Champagne, Canada’s minister of innovation, science and industry, said in a statement.

Chan, for his part, said the shared computing infrastructure, which will utilize a more sustainable, state-of-the-art cooling system, is a savvy use of public funding.

“These investments result in cost savings,” he said. “Ontario’s publicly funded ARC ecosystem costs users 80 per cent less than commercial cloud systems.” 

He said students and researchers across Canada should be encouraged by the news. 

“It’s a unique resource,” he said. “If my students are doing computational research, they can use the cloud, which is expensive. Or they can build their own computer to do it, but they’re not going to have the same kind of power, scale or expert support as something like SciNet.

“It plays a big role in being able to speed up research, speed up discovery with whatever they’re working on and access more computational memory, more storage and more computational power.” 

For example, Chan says students can run an algorithm at much faster speeds and test multiple algorithms at the same time – something that’s not always possible on local machines.

“Equipping the next generation with job-ready skills in high-performance computing, machine learning and AI is critical to industries including manufacturing, automotive, finance, and the life sciences. When we invest in advanced research computing, we help our students get skilled jobs and attract highly skilled workers to Ontario.”