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Kosuke Nakano
16/08/2024
Rio Yokota
16/08/2024
Toshiyuki Imamura
Toshiyuki Imamura is a team leader of Large-scale Parallel Numerical Computing Technology Team at RIKEN R-CCS and is responsible for developing numerical libraries on Fugaku.
He received his Diploma and Doctorate in Applied Systems and Sciences from Kyoto University in 1993 and 2000. He was a Researcher at CCSE, JAERI (1996-2003), a visiting scientist at HLRS (2002), and an associate professor at the University of Electro-Communications (2003-2012).
His research team has developed and maintained high-performance numerical software, especially for numerical linear algebra, on the K computer and the Fugaku supercomputer, and these activities will continue on the Fugaku next system.
His research interests include HPC, performance autotuning technology, parallel eigenvalue computation, and developing the high-performance parallel eigenvalue library EigenExa and its variations towards emerging GPU systems. His research group won the HPL-MpX ranking with the first exascale benchmark record 2.0EFLOPS using the full Fugaku system in 2020-2021, and his project group was nominated as the Gordon Bell Prize finalist in SC05, SC06, and SC20 with significant contribution of large-scale parallel eigensolver for scientific application codes.