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RIKEN International HPC Summer School 2023 - Toward Society 5.0 -

RIKEN Center for Computational Science (R-CCS) will hold a summer school in September 2023.
This program is designed to provide young researchers in computational science with an opportunity to learn programming techniques for parallel computers and to help them become leaders in the field in the age of Society 5.0. Scientists from R-CCS will provide lectures, and Wisteria/BDEC-01 Odyssey (Wisteria-O/The University of Tokyo) which is Fugaku compatible system will be used for hands-on training.
This program will be provided in English.
The program consists of 5-days. First 4 days are focusing on parallel Finite Element Method (FEM). FEM is widely used for solving various types of applications in science and engineering. This part includes fundamental issues related to FEM, parallel programming using MPI, OpenMP and numerical libraries, such as PETSc. Participants will gain knowledge and insights into scientific computing through hands-on sessions using Wisteria/BDEC-01 Odyssey (Wisteria-O).
On the final day, we will deepen your understanding of numerical libraries by practicing PETSc applications in the morning. We will have a hands-on lecture on Deep Neural Networks in the afternoon, demonstrating a simple image categorization and bridge to the higher-level AI frameworks and toolkits.

Date Mon, Sep 11 - Fri, Sep 15, 2023
Qualifications Graduate students, etc. who meet one of the following criteria:
  • Students are enrolled in a Ph.D. program, post-doctoral scientists and early career scientists affiliated with universities or research institutions.
  • Scientists and engineers affiliated with private companies
Venue Online
Organizer RIKEN Center for Computational Science (R-CCS)
Details For more details and applications, see the school website below.
RIKEN International HPC Summer School 2023 - Toward Society 5.0 -
Capacity Approx.40
Application deadline 5pm, July 28, 2023
Inquiries RIKEN Computational Science Promotion Office
Email: renkei_hrd [at] ml.riken.jp

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