56th ASE Seminar (Hybrid: on-site, online): Integration of Simulation/Data/Learning and Beyond (Part-2)
56th ASE Seminar (Advanced Supercomputing Environment), Information Technology Center, the University of Tokyo (ITC/UTokyo) will focus on topics related to integration of "Simulation/Data/Learning (S+D+L)", and will be held with Prof. Tan Bui-Thanh (University of Texas at Austin, USA) as invited speakers. In addition to the lecture by the invited speakers, there will be two presentation on related issues by faculty member of ITC/UTokyo. Integration of "Simulation/Data/Learning (S+D+L)" is a technical issue that ITC/UTokyo has been working on since 2015, and was also discussed at the 45th ASE Seminar held in November 2023. This 56th ASE Seminar will be a sequel to that meeting, and we hope to utilize it as an opportunity to discuss the future of the integration of (S+D+L), taking into account new developments since then. Please join us. Participation is free, but please be sure to register in advance. This seminar will be held in a hybrid style. Please note that on-site participation will be limited to the first 40 people, so please apply early. All presentations will be in English.
56th ASE Seminar
Date & Time: May 23, 2025 (Friday), 14:00 - 15:45
Style: Hybrid of Online (Zoom) and On-Site (T412, Information Technology Center, Kashiwa II Campus, the University of Tokyo)
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Hosted by: Supercomputing Research Division, Information Technology Center, the University of Tokyo
Program
56th ASE Seminar
14:00-15:45, May 23 (Friday), 2025
| 14:00 - 14:05 | Kengo Nakajima (The University of Tokyo, Japan) Opening |
|---|---|
| 14:05 - 14:50 | Tan Bui-Thanh (University of Texas at Austin, USA) Learn2Solve: A Deep Learning Framework for Real-Time Solutions of forward, inverse, and UQ Problems |
| 14:50 - 15:15 | Kengo Nakajima (The University of Tokyo, Japan) Innovative Supercomputing by Integrations of Simulations/Data/Learning on Large-scale Heterogeneous Systems |
| 15:15 - 15:40 | Takashi Shimokawabe (The University of Tokyo, Japan) Fast Prediction Method for Steady Flow Simulations over Multiple Domains |
| 15:40 - 15:45 | Kengo Nakajima (The University of Tokyo, Japan) Closing |
Video Recording
In preparation.
Seminar format
- The seminars are open to everyone, not limited to users of this center.
Application form
Participation fee: FreeThe deadline for registration is 12:00 p.m. one day prior to the date of the seminar.
* We will send you information about the Zoom meeting for the seminar by e-mail.
* We will start sending the above e-mail about one week before the date of the seminar.
Inquiries about the ASE Seminar
Professor Kengo Nakajima, ASE Seminar Coordinator
E-mail: nakajima＠cc.u-tokyo.ac.jp
(Please replace "＠" with "@" before sending the e-mail.)