Member

Profile

Associate Professor Rio Yokota

E-mail
rioyokota[at]gsic.titech.ac.jp

Affiliation
Tokyo Institute of Technology, Global Scientific Information and Computing Center, Advanced Computing Research Division, Advanced Applications of High-Performance Computing Group

Office
2-12-1 i7-2 O-okayama Meguro-ku, 152-8550, Tokyo, Japan
Phone +81-3-5734-212

   
Google scholar: https://scholar.google.com/citations?user=klw9KE0AAAAJ&hl=en
ORCID: https://orcid.org/0000-0001-7573-7873
ResearchMap: https://researchmap.jp/rioyokota
ResearchGate: https://www.researchgate.net/profile/Rio-Yokota
Semantic Scholar: https://www.semanticscholar.org/author/Rio-Yokota/2274654
Github: https://github.com/rioyokotalab

Biography

Rio Yokota is an Associate Professor at the Global Scientific Information and Computing Center, Tokyo Institute of Technology. His research interests lie at the intersection of high performance computing, linear algebra, and machine learning. He is the developer numerous libraries for fast multipole methods (ExaFMM), hierarchical low-rank algorithms (Hatrix), and information matrices in deep learning (ASDFGHJKL) that scale to the full system on the largest supercomputers today. He has been optimizing algorithms on GPUs since 2006, and was part of a team that received the Gordon Bell prize in 2009 using the first GPU supercomputer. Rio is a member of ACM, IEEE, and SIAM.