Parallel sessions - High Performance Computing for AI
11/17/2020 | 10:15 - 12:15 | Laval Virtual
Description
- Time schedule in France & Germany : 10:15 to 12:15
- Time schedule in Japan : 18:15 to 20:15
The development of efficient AI models relies not only on a large volume of data to learn from, but also on
powerful computational resources to process those data. In this context, increasingly high-performance computers are being designed with a focus on serving AI applications, including exascale applications dedicated to weather forecasts, astronomy, petroleum prospecting and or financial market predictions.
This session will discuss how and why AI development can leverage high-performance computing as well as how high-performance computing can benefit from AI, and how international co-operation can help to optimise the development and the use of these supercomputers.
What advantages do Japan, France and Germany have in working together (i.e. scientists, companies, political decision-makers, etc.) on this subject? Why? How can we improve co-operation and what are the current brakes and deadlocks?
Speakers
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![Mr. Stéphane Requena]()
Mr. Stéphane Requena
Chief Technical Officer, GENCI -
![Prof. Nahid Emad]()
Prof. Nahid Emad
Professor, Computer Science, University of Paris Saclay/ Versailles (LI-PARAD Laboratory and Maison de la Simulation) -
![Prof. Dr. Matthias Weidemüller]()
Prof. Dr. Matthias Weidemüller
Professor of Physics, Department of Physics and Astronomy, Physics Institute, Heidelberg University -
![Mr. Severin Reiz]()
Mr. Severin Reiz
Research associate, Scientific computing in Computer Science, Technical University of Munich (TUM) -
![Dr. Prof. Satoshi Matsuoka]()
Dr. Prof. Satoshi Matsuoka
Director, Riken Center for Computational Science (R-CCS), RIKEN -
![Dr. Yasunori Kimura]()
Dr. Yasunori Kimura
Supervisory Innovation Coordinator, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST)
