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Presenter

Biography
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.
Chair of Sessions
Paper
Accelerators
Algorithms
Data Compression
Linear Algebra
Tensors
TP
Committee Roles
HPC for Machine Learning Conflict Chair
HPC for Machine Learning Member
Research/ACM SRC Posters Member
SC Workshop Committee Member: AI4S
SC Workshop Committee Member: Accelerating the Development and Use of Generative AI