By advancing the national supercomputing landscape and our ability to process large amounts of data quickly, Queen’s University’s Computing at Extreme Scale Advanced Research (CAESAR) lab is enabling high performance, AI-powered analytics that can streamline city planning, simulate environmental events, and optimize energy distribution. This translates to more efficient and responsive infrastructure that directly improves regional services and resilience.
Through the development of advanced test bed systems, the CAESAR lab is enabling rapid deployment and testing of cutting-edge supercomputing technologies. This infrastructure supports local companies, particularly startups in gaining a critical edge in fields such as AI, materials science, and health care.
As supercomputing revolutionizes how we tackle the world’s toughest challenges – from accelerating climate modeling and advancing medical research to optimizing energy systems and powering next generation AI, this model creates a powerful research-to-application pipeline, accelerating real-world solutions, improving cost-efficiency, and generating tangible economic and societal benefits within local communities – catalyzing innovation in sectors from environmental monitoring to smart city development and reinforcing Ontario’s digital economy.
For more information, visit Queen’s University.
