| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 11002 | |
| Number of page(s) | 8 | |
| Section | Pre-Post Processing in Monte Carlo Simulation | |
| DOI | https://doi.org/10.1051/epjconf/202430211002 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430211002
Extension of particle-based in-situ visualization for multipoint VR visualization
Japan Atomic Energy Agency, Center for Computational Science & e-Systems, Kashiwa, Japan
* Corresponding author: kawamura.takuma@jaea.go.jp
** Corresponding author: kazuya.shimomura@jaea.go.jp
*** Corresponding author: osaki.tsukasa@jaea.go.jp
**** Corresponding author: idomura.yasuhiro@jaea.go.jp
Published online: 15 October 2024
In the field of nuclear engineering, complex simulations on exascale supercomputers generate large-scale data. To facilitate efficient analysis of such simulation data, one needs to share them among scientists at remote locations. However, data I/O and data transfer for such large-scale data are quite costly. To resolve these issues, we developed a remote in-situ visualization system IS-PBVR based on the particle-based volume rendering (PBVR), which is suitable for parallel processing on modern supercomputers. In this study, we extend IS-PBVR for VR visualization on multiple client PCs, thus developing a multi-point remote VR visualization. We apply this technique to fluid simulations on GPU-based supercomputers and verify its utility by sharing in-situ VR visualization between multiple client PCs.
© The Authors, published by EDP Sciences, 2024
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