KOUYA Tomonori

J-GLOBAL         Last updated: Apr 11, 2017 at 15:58
 
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Name
KOUYA Tomonori
Alternative names
tkouya
URL
http://na-inet.jp/
Affiliation
Shizuoka Institute of Science and Technology
Section
Faculty of Comprehensive Informatics
Job title
Professor
Degree
Ph.D(Nihon University)
Twitter ID
tkouya

Research Areas

 
 

Academic & Professional Experience

 
1999
   
 
- Lecturer, Shizuoka Institute of Science
 
 
   
 
and Technology
 

Education

 
 
 - 
1997
Graduate School, Division of Science and Engineering, Nihon University
 
 
 - 
1991
Faculty of Science and Engineering, Tokyo University of Science
 

Committee Memberships

 
 
 - 
Today
SIAM  General Member
 

Misc

 
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
ari...
Tomonori Kouya
International Journal of Numerical Methods and Applications, Vol.7, Issue 2, 2012, Pages 107 - 119      Nov 2014
We evaluate the performance of the Krylov subspace method by using highly
efficient multiple precision sparse matrix-vector multiplication (SpMV).
BNCpack is our multiple precision numerical computation library based on
MPFR/GMP, which is one of t...
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...
Tomonori Kouya
International Journal of Numerical Methods and Applications, Volume 9, Number 2, 2013, pp.85-108      Jun 2013
We propose a practical implementation of high-order fully implicit
Runge-Kutta(IRK) methods in a multiple precision floating-point environment.
Although implementations based on IRK methods in an IEEE754 double precision
environment have been repo...

Books etc

 
Elena Nikolaevskaya, Alexandr Khimich, Tamara Chistyakova
Springer   Apr 2014   ISBN:364243374X

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.