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Kawamura, Takuma
no journal, ,
We discuss the development and application of an in-situ visualization system using particle based visualization data. As the simulation becomes larger, the conventional visualization method involving data transfer to the pre-post node requires a huge amount of processing time. In this study, in order to enable real-time visualization and analysis for large-scale simulations, an interactive in-situ visualization system using particle data was developed and optimized for the latest many-core environment. Using the developed system, it was confirmed that interactive visualization is possible when executing batch processing of simulations. A visualization example of AMR based simulations on the latest GPGPU machine is also reported.
Idomura, Yasuhiro
no journal, ,
In this overview talk, first, we review computational nuclear engineering research activities at JAEA, which cover a wide spectrum of computing needs including various CFD codes on thermal hydraulics and environmental dynamics, radiation transport codes, quantum simulations on material science, and the latest machine learning applications. Second, we talk about the development of exascale nuclear CFD simulations on state-of-the-art accelerated computing platforms. Third, we present exascale plasma codes and new data science approaches developed under the post-K project. Finally, we discuss the state of the CEA-JAEA collaboration on computational nuclear engineering.
Onodera, Naoyuki
no journal, ,
The plume dispersion simulations is very important from the viewpoint of nuclear security, and it is also required to satisfy both calculation speed and accuracy. GPU accelerated CFD method enables both high-resolution and real-time wind simulations in urban areas. In this presentation, we applied a communication reduced multi-time-step algorithm to AMR based CityLBM, and we realized a real-time plume dispersion simulation on GPU supercomputers.