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During his PhD in Mechanical Engineering at Keio University, he worked on the implementation of fast multipole methods on special purpose machines such as MDGRAPE-3, and then on GPUs after CUDA was released. During a post-doc at the University of Bristol, he continued to work on FMM, and was part of the team that won the Gordon Bell prize for price/performance in 2009 using 760 GPUs. During a postdoc with Lorena Barba at Boston University he developed an open source parallel FMM code -- ExaFMM. He is now running this code on full nodes of the TSUBAME 2.5 and K computer in Japan, and also on large Blue Gene and Cray machines, for applications in molecular dynamics and sparse preconditioners. Rio is a member of ACM and SIAM.
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INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS (2024)
Qianxiang Ma,Rio Yokota
The International Journal of High Performance Computing Applications (2024)
CoRR (2023): 14:1-14:11
ICPP (2023): 11-20
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