Past Events

Introduction to the Command Line

2024-09-20
C700

The command line is the primary way to use the high performance computing resources at OIST. Here we quickly learn the basics we need to become comfortable and productive.

Introduction to HPC and scientific computing - Session 2

2024-09-19
C700

A beginner's introduction to using the clusters and other computing resources at OIST. This is the second, hands-on session.

Introduction to HPC and scientific computing - Session 1

2024-09-17
C700

This training course will show you how to make best use of the high-performance computing resources at OIST. In the first session we show you how computing clusters are organized and introduce the fundamental concepts of parallel computing.

[Training] COMSOL Multiphysics® Training By COMSOL Japan

2023-03-09
Online

Introduction to Optics Simulations in COMSOL Multiphysics

[Training] COMSOL Multiphysics® Bimonthly Training By COMSOL Japan

2023-02-16
Web

If you are interested in solving heat transfer problems using COMSOL Multiphysics®, this is the online seminar for you.

Program
14:00 – 15:00 JST

[Software Week 2022] COMSOL by COMSOL Japan

2022-10-07
C210

COMSOL seminar by COMSOL Japan

[Software Week 2022] Blender (Advanced)

2022-10-05
Lab3 Level C, C700

Introducing more advanced usecase of Blender for yoru research

[Software Week 2022] MATLAB by MathWorks Japan

2022-10-05
Center Bld. C210

Software Development Practices with MATLAB

Introduction to Python programming on the Cluster — Session 3

2021-10-18
L4E01

Python is a popular, powerful programming language that is often used in scientific computing. You will get an introduction to the Python language and to common scientific libraries, and you will learn how to use Python in the OIST cluster environment.

 

Introduction to Python programming on the Cluster — Session 2

2021-10-14
L4E01

Python is a popular, powerful programming language that is often used in scientific computing. You will get an introduction to the Python language and to common scientific libraries, and you will learn how to use Python in the OIST cluster environment.

Pages