- Makoto Tsubokura, RIKEN Center for Computational Science
- Mariano Vázquez
- Takayuki Aoki
- Andreas Lintermann
Supercomputers have made available an unprecedented amount of computing power to researchers from academia and industry. But "power without grip is useless": the availability of thousands of processors to compute must be accompanied by a steep evolution in software development based on HPC techniques, to open a completely new way of facing the most complex simulation problems of Computational Physics and Engineering. Especially in technology niches such as industrial, energy, environmental or biomechanical applications, treatment of complicated or coupled phenomena of fluid and solid motions are always a big issue. Such simulations demand much computational resources. Without any doubt, HPC resources also contribute to generate big data through simulations, i.e., the combination of simulation and data sciences are ushering the dawn of a new Society 5.0 era. The objective of this Mini-Symposium is to communicate and discuss issues and perspectives of HPC simulation and data sciences. Industrial applications, which cover fields of bio, automotive, aerospace, pharmacology, energy, environmental and so on, are targeted. The expected topics should include algorithms, simulation/AI strategies, and programming techniques for complex simulations of fluid/solid phenomena requiring massively HPC environments (usually including coupled multi-physics). Parallel issues such as the robustness and performance analysis, and introduction of pre- and post-processing techniques, e.g., CAD integration, mesh generation, or visualization, are also welcome. It is preferable, but not indispensable, that authors include some numerical results of their applications to discuss the validity of the proposed methods.