ISC High Performance 2017
The complex nature of turbulent fluid flows implies that the computational resources needed to accurately model problems of industrial and academic relevance is virtually unbounded. Computational Fluid Dynamics (CFD) is therefore a natural driver for exascale computing and has the potential for substantial societal impact, like reduced energy consumption, alternative sources of energy, improved health care, and improved climate models.
Extreme-scale CFD poses several cross disciplinary challenges e.g. algorithmic issues in scalable solver design, handling of extreme sized data with compression and in-situ analysis, resilience and energy awareness in both hardware and algorithm design. The wide range of topics makes exascale CFD relevant to a wider HPC audience, extending outside the traditional fluid dynamics community.
This workshop aims at bringing together the CFD community as a whole, from HPC experts to domain scientists, discuss current and future challenges towards exascale fluid dynamics simulations and facilitating international collaboration.
14:00 - 14:10 Welcome/Intro
14:10 - 14:45 Alexander Heinecke, Intel: Seismic Simulations in the Days of Deep Learning Hardware
14:45 - 15:20 Ingrid Hotz, LiU: Feature-based Analysis and Visualization in Flow Applications
15:20 - 15:55 Evelyn Otero, KTH: The effect of lossy data compression in computational fluid dynamics applications
16:00 - 16:30 Coffee break!
16:30 - 17:05 Keiji Onishi, RIKEN AICS: Encouragement of Accelerating Pre/Post processing towards Exascale CFD
17:05 - 17:40 Niclas Jansson, KTH (Wrap-up)
Prof. Erwin Laure, KTH Royal Institute of Technology
Dr. Philipp Schlatter, KTH Royal Institute of Technology
Dr. Niclas Jansson, KTH Royal Institute of Technology
Prof. Spencer Sherwin, Imperial College London
Dr. David Moxey, Imperial College London
Dr. Nick Johnson, The University of Edinburgh, EPCC
- From 2017-06-18 00:00 to 2017-06-22 00:00
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