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Dr. Ian Karlin is an assistant professor in the Department of Electrical and Computer Engineering at Queen’s University, where he holds the Mitchell Chair in Supercomputing. He received his PhD from the University of Colorado at Boulder. Prior to joining Queen’s University, Dr. Karlin served as a principal engineer at NVIDIA and as principal high performance computing strategist at Lawrence Livermore National Laboratory. At Lawrence Livermore National Laboratory, he led benchmarking and performance evaluation for the El Capitan supercomputer. He also served as the NVIDIA technical lead for the upcoming Doudna and Mission supercomputing systems.
Dr. Karlin’s research focuses on improving the design of supercomputers and the performance of scientific and AI workloads on those systems. His work examines heterogeneous systems, power optimizations for post-Moore’s law computing, application performance analysis, and system usage data for more efficient design and operation. He has published over 40 peer-reviewed papers in high performance computing, is co-author on nine patent applications, and has contributed to widely used HPC benchmarks including LULESH and DataRaceBench. Dr. Karlin has received two US DOE Secretaries Achievement awards, a US Defence Program Excellence Award, and eight publication awards. He collaborates with the Computing at Extreme Scale Advanced Research Laboratory at Queen’s University.
Simon Fraser University and Queen's University unite to create top-tier supercomputers amid federal AI funding, boosting research sovereignty and innovation in Canadian higher education.
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