Presenter

Rio Yokota is a professor at the Global Scientific Information and Computing Center, Tokyo Institute of Technology. His research interests lie at the intersection of high performance computing and machine learning. He is the developer of numerous libraries for fast multipole methods (ExaFMM) and hierarchical low-rank algorithms (Hatrix) that scale to the full system on the largest supercomputers today. He has also led efforts to train ImageNet in two minutes, and more recently to pre-train large language models using thousands of GPUs. He has been optimizing algorithms on GPUs since 2006, and was part of a team that received the ACM Gordon Bell Prize in 2009.