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Gary Grewal is a Professor at the University of Guelph's School of Computer Science, with a research focus that spans across Computer Science and Computer Engineering. His work is highly interdisciplinary, emphasizing the development of computer-aided design tools for efficiently mapping digital hardware designs onto FPGAs. His specific research interests talk about the application of machine learning, deep learning, and reinforcement learning to solve key optimization problems related to FPGA flows, reconfigurable computing, and hardware acceleration. He is also proficient in parallel programming and has made significant contributions to FPGA architecture, placement, and routing.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).