Thorsten Kurth
Thorsten works at NVIDIA on optimizing scientific codes for GPU based supercomputers. His main focus is on providing optimized deep learning applications for HPC systems, including MLPerf HPC benchmark applications. These include end-to-end optimizations such as input pipeline including IO tuning and distributed training. In 2018 he was awarded the Gordon Bell Prize for the first Deep Learning application which achieved more than 1 ExaOp peak performance on the OLCF Summit HPC system. In 2020 he was awarded the Gordon Bell Special Prize for HPC-based Covid-19 research for efficiently generating large ensembles of scientifically relevant Spike Trimer confirmations using the AI driven MD simulations workflow DeepDriveMD.
Climate, Weather and Earth Sciences
Computer Science and Applied Mathematics