RIKEN Center for Computational Science Large-Scale Parallel Numerical Computing Technology Research Team
Team Principal: Toshiyuki Imamura (Ph.D.)
Research Summary
The Large-scale Parallel Numerical Computing Technology Research Team conducts research and development of a large scale, highly parallel and high-performance numerical software library for the supercomputer Fugaku. Simulation programs require various numerical algorithms for the solution of linear systems, eigenvalue problems, fast Fourier transforms, and non-linear equations. In order to take advantage of the full potential of Fugaku, we must select algorithms and develop a numerical software library based on the concepts of high parallelism, high performance, high precision, resiliency, and scalability. We achieve this through close collaboration among computational science (simulation), computer science (hardware and software) and numerical mathematics. Our goal is to establish a fundamental technique to develop numerical software libraries, called KMATHLIB, for next generation supercomputer systems based on strong cooperation within R-CCS.
Main Research Fields
- Mathematical & Physical Sciences
Keywords
- Parallel Algorithms
- High Performance Computing
- Numerical Linear Algebra
- Mixed-precision Numerical Computing
- Minimal Precision Computing
Selected Publications
- 1.Yuki Uchino, Toshiyuki Imamura.:
"High-Performance EigenSolver Combining EigenExa and Iterative Refinement"
SC '24: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2024 - 2.Takeshi Terao, Toshiyuki Imamura, and Katsuhisa Ozaki.:
"Iterative refinement for an eigenpair subset of a real symmetric matrix"
JSIAM Letters, Vol. 16, pp. 89-92, 2024,
doi: 10.14495/jsiaml.16.89 - 3.Piotr Luszczek, Ahmad Abdelfattah, Hartwig Anzt, Atsushi Suzuki, Stanimire Tomov.:
"Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications"
Future Generation Computer Systems-The International Journal of Science, Vol.160, pp. 359-374, 2024,
doi: 10.1016/j.future.2024.06.004 - 4.Yuta Hasegawa, Naoyuki Onodera, Yuuichi Asahi, Takuya Ina, Toshiyuki Imamura, and Yasuhiro Idomura.:
"Continuous data assimilation of large eddy simulation by lattice Boltzmann method and local ensemble transform Kalman filter (LBM-LETKF)"
Fluid Dynamics Research, Vol. 55, Number 6, 2023,
doi: 10.1088/1873-7005/ad06bd - 5.Daichi Mukunoki, Satoshi Kawai, and Toshiyuki Imamura.:
"Sparse Matrix-Vector Multiplication with Reduced-Precision Memory Accessor"
2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), pp. 608-615, 2023.
doi: 10.1109/MCSoC60832.2023.00094 - 6.Atsushi Suzuki.:
"A factorization algorithm for sparse matrix with mixed precision arithmetic"
ECCOMAS Congress 2022, Volume Science Computing, 2022.
doi 10.23967/eccomas.2022.006 - 7.Hisashi Yashiro, Koji Terasaki, Yuta Kawai, Shuhei Kudo, Takemasa Miyoshi, Toshiyuki Imamura, Kazuo Minami, Hikaru Inoue, Tatsuo Nishiki, Takayuki Saji, Masaki Satoh, and Hirofumi Tomita.:
"A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations"
Proc. The International Conference for High Performance Computing, Networking, Storage and Analysis (SC '20). IEEE Press, Article 1, 1-10, 2020.
doi: 10.1109/SC41405.2020.00005 - 8.Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura.:
"DGEMM using Tensor Cores, and Its Accurate and Reproducible Versions"
ISC High Performance 2020, Lecture Notes in Computer Science, Vol.12151, pp. 230-248, 2020.
doi.org/10.1007/978-3-030-50743-5_12 - 9.Takeshi Fukaya and Toshiyuki Imamura.:
"Performance evaluation of the EigenExa eigensolver on Oakleaf-FX: tridiagonalization versus pentadiagonalization"
Proc. Parallel and Distributed Processing Symposium Workshop (IPDPSW), 2015 IEEE International, pp. 960-969, 2015.
doi: 10.1109/IPDPSW.2015.128 - 10.Yusuke Hirota and Toshiyuki Imamura.:
"Divide-and-Conquer Method for Banded Generalized Eigenvalue Problems"
Journal of Information Processing Computing System, Vol.52,Nov,20,2015.
Related Links
- Large-scale Parallel Numerical Computing Technology Research Team | RIKEN Center for Computational Science
- Large-scale Parallel Numerical Computing Technology Research Team
- Center for Computational Science and e-Systems (JAEA)
- Tesuya Sakurai, Center for Artificial Intelligence Research, University of Tsukuba
- Daisuke Takahashi, Center for Computational Science, University of Tsukuba
- Sorbonne University LIP6 PEQUAN
- Takeshi Ogita, Faculty of Science and Engineering, Waseda University
- Franz Franchetti Home Page
Lab Members
Principal investigator
- Toshiyuki Imamura
- Team Principal
Core members
- Atsushi Suzuki
- Senior Research Scientist
- Kengo Nakajima
- Senior Research Scientist
- Masado Ishii
- Postdoctoral Researcher
- Yuki Uchino
- Postdoctoral Researcher
- Daisuke Takahashi
- Senior Visiting Scientist
- Mitsuo Yokokawa
- Senior Visiting Scientist
Careers
| Position | Deadline |
|---|---|
| Seeking a Research Scientist or Postdoctoral Researcher (K24023) | Open until filled |
Contact Information
7-1-26, Minatojima-minami-machi, Chuo-ku,
Kobe,Hyogo,
650-0047, Japan
Email: imamura.toshiyuki@riken.jp