Past Events

HPC User Group Meeting

2024年12月12日 (木) 13:00
C700

The December OIST High-Performance Computing User Group Meeting is on the 12th. Everybody is Welcome!

Introduction to the Command Line

2024年9月20日 (金) 13:00 15:00
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年9月19日 (木) 13:00 15:00
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年9月17日 (火) 13:00 15:00
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年3月9日 (木) 14:00 15:00
Online

Introduction to Optics Simulations in COMSOL Multiphysics

[Training] COMSOL Multiphysics® Bimonthly Training By COMSOL Japan

2023年2月16日 (木) 14:00 15:00
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年10月7日 (金) 10:00 12:00
C210

COMSOL seminar by COMSOL Japan

[Software Week 2022] Blender (Advanced)

2022年10月5日 (水) 13:00 15:00
Lab3 Level C, C700

Introducing more advanced usecase of Blender for yoru research

[Software Week 2022] MATLAB by MathWorks Japan

2022年10月5日 (水) 10:00 12:00
Center Bld. C210

Software Development Practices with MATLAB

Introduction to Python programming on the Cluster — Session 3

2021年10月18日 (月) 13:00 15:00
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.

 

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