This page shows the list of seminars pertaining to our large-scale computer systems.
Please do registration on the page of your interested seminar.
Seminar in the past
See pages below for the past seminars.
A revisit to numerical computation of Ordinary Differential Equations
When numerical computation becomes necessary in research and development, what criteria should be used to select an appropriate algorithm?Various factors need to be considered, including accuracy, stability, and computational efficiency. However, even when researchers and engineers encounter questions about seemingly fundamental concepts, they may hesitate to ask others precisely because those concepts are regarded as basic.In this seminar, we will begin by revisiting the textbook fundamentals of numerical algorithms for ordinary differential equations (ODEs). We will then provide a systematic overview of numerical methods for ODEs, ranging from classical approaches to state-of-the-art techniques.Through illustrative examples, including the potential pitfalls that can arise when individually effective ideas are combined in a straightforward manner, we will discuss how different algorithms can be classified, understood, and selected in practice.
Getting Started with Programming Using Generative AI (3-Part Series)
Sep. 17, 10:00 - 12:00
Sep. 24, 10:00 - 12:00
This seminar series consists of three sessions covering everything from the fundamentals of programming with generative AI (AI coding) to practical applications. Topics include how AI coding works, how to choose appropriate tools, how generative AI can be used to create and execute job scripts on supercomputers, techniques for effectively using coding agents, and strategies for reducing token consumption and usage costs. Graduate students at the D3 Center will serve as instructors, drawing on their own experience to provide clear and accessible explanations for both those who are new to programming with generative AI and those who would like to revisit the fundamentals. The seminar is open not only to supercomputer users but also to participants from academic institutions and private companies.
