Dr. Ian Karlin is an assistant professor in the Department of Electrical and Computer Engineering. His research aims to improve the design of supercomputers and the performance of workloads on those systems, both scientific and AI. He is investigating the value of heterogenous systems and power optimizations for post Moore's law systems.
Dr. Karlin received his PhD from the University of Colorado at Boulder. Prior to joining Queen's he held positions as a Principal Engineer at NVIDIA and Principal HPC Strategist at Lawrence Livermore National Laboratory (LLNL). At LLNL he led benchmarking and performance evaluation for the El Capitan (currently world's number 1 system), and was the NVIDIA technical lead for the upcoming Doudna and Mission systems to be deployed at NERSC and Los Alamos National Laboratory.
Dr. Karlin has published over 40 peer reviewed papers in high performance computing, is co-author on 9 patent applications, and contributed to widely used HPC benchmarks including LULESH and DataRaceBench. He has won two US DOE Secretaries Achievement awards, a US Defence Program Excellence Award, eight publication awards.