KOUYA Tomonori

J-GLOBAL         Last updated: Oct 23, 2019 at 21:25
KOUYA Tomonori
Shizuoka Institute of Science and Technology
Faculty of Comprehensive Informatics
Job title
Ph.D(Nihon University)
Twitter ID

Research Areas


Academic & Professional Experience

Apr 2017
Professor, Faculty of Comprehensive Informatics, Shizuoka Institute of Science and Technology
Apr 2008
Mar 2017
Lecturer -> Associate Professor -> Professor, Faculty of Comprehensive Informatics, Shizuoka Institute of Science and Technology
Apr 1999
Mar 2008
Lecturer, Department of Computer Science, Shizuoka Institute of Science and Technology


Graduate School, Division of Science and Engineering, Nihon University
Faculty of Science and Engineering, Tokyo University of Science

Published Papers

KOUYA Tomonori
2019 IEEE 26th Symposium on Computer Arithmetic (ARITH)   26 120-123   Jun 2019   [Refereed]
Error-free transformation (EFT) has been recently applied to solve ill-conditioned problems. This transformation can reduce the number of arithmetic operations required compared to multiple precision arithmetic. In this study, we implement double-...
KOUYA Tomonori
JSIAM Letters   8 21-24   May 2016   [Refereed]
It is well known that Strassen and Winograd algorithms can reduce the computational
costs associated with dense matrix multiplication. We have already shown
that they are also very effective for software-based multiple precision floating-point
Tomonori Kouya
JSIAM Letters   6 81-84   Oct 2014   [Refereed]
The Strassen algorithm and Winograd's variant accelerate matrix
multiplication by using fewer arithmetic operations than standard matrix
multiplication. Although many papers have been published to accelerate single-
as well as double-precision mat...
応用数理   21(3) 197-206   Sep 2011   [Refereed][Invited]
BNCpack is a multiple precision numerical computation library built on the functions provided by MPFR/GMP which is currently fastest and the most reliable multiple precision floating-point arithmetic library. It can handle complex arithmetic, basi...
Kouya Tomonori
Transactions of the Japan Society for Industrial and Applied Mathematics   19(3) 313-328   Sep 2009   [Refereed]
Buttari et al. have proposed the mixed-precision iterative refinement method using the IEEE754 single- and double-precision arithmetic for solving linear systems of equations. Their benchmark tests show that their proposed method can obtain high p...


Tomonori KOUYA
静岡理工科大学紀要 = The Bulletin of the Shizuoka Institute of Science and Technology   (27) 73-78   Aug 2019
Tomonori KOUYA, Shunichi SAKURAGI, Satomi HATTORI, Hirofumi KASATANI, Katsuya OGURI, Koji IIGURA, Hideo AOSHIMA, Shinya WATANABE
静岡理工科大学紀要 = The Bulletin of the Shizuoka Institute of Science and Technology   (25) 151-168   Jan 2018
Tomonori KOUYA
静岡理工科大学紀要 = The Bulletin of the Shizuoka Institute of Science and Technology   (25) 169-174   Jan 2018
Emiko NOMURA, Yoshinori SUGANUMA, Tomonori KOUYA
静岡理工科大学紀要   26 117-123   2018
Tomonori KOUYA, Akihiro GOTO, Takeharu KOHRI, Naoko YOSHlKAWA, Rie MATSUNAGA, Takeshi MATSUDA, Hideo AOSHlMA, Takeshi FUKANO
静岡理工科大学紀要 = Bulletin of the Shizuoka Institute of Science and Technology   (24) 113-128   Jan 2017

Books etc

Multiple Precision Arithmetic Numerical Computation with GNU MP, MPFR and QD
KOUYA Tomonori
Nov 2019   ISBN:9784627854918
Elena Nikolaevskaya, Alexandr Khimich, Tamara Chistyakova
Springer   Apr 2014   ISBN:364243374X

Conference Activities & Talks

情報処理学会研究報告(Web)   17 Jul 2019   
日本応用数理学会年会講演予稿集(CD-ROM)   27 Aug 2014   
Tomonori Kouya
IPSJ SIG Notes   22 May 2013   
Implicit algorithms such as implicit Runge-Kutta methods are appropriate to solve "stiff" ordinary differential equations (ODEs) numerically which play important role in various scientific simulations. We have already developed the ODE solver base...
情報処理学会研究報告(CD-ROM)   15 Apr 2012   
Tomonori Kouya
IPSJ SIG Notes   19 Mar 2012   
We evaluate the performance of Krylov subspace method by using multiple precision sparse matrix-vector multiplication(SpMV). BNCpack is our own multiple precision numerical computation library based on MPFR/GMP, which is one of the most efficient ...

Research Grants & Projects

Study on numerical properties for discrete Solutions of ordinary differential equations in multi-precision arithmetic environment
Study on Accurate and hiperformance numerical computation with PC Cluster and its related topics
Project Year: 2003   
Study on arbitrary precision computation based on empirical error estimation method (Classical Error Estimation, CEE)
Project Year: 2006   
We are developing numerical compuation algorithms based on empirical error estimation method in order to obtain user-required precision approximation by using existing old-style numerical algorithms or libraries.