| Literature DB >> 33816956 |
Akira Kageyama1, Naohisa Sakamoto1.
Abstract
We propose a new visualization method for massive supercomputer simulations. The key idea is to scatter multiple omnidirectional cameras to record the simulation via in situ visualization. After the simulations are complete, researchers can interactively explore the data collection of the recorded videos by navigating along a path in four-dimensional spacetime. We demonstrate the feasibility of this method by applying it to three different fluid and magnetohydrodynamics simulations using up to 1,000 omnidirectional cameras.Entities:
Keywords: Computer simulation; High performance computing; In situ visualization; Interactive exploration of video dataset; Multi-viewpoint visualization; New method for visualization of supercomputer simulations; Omnidirectional visualization; Scientific visualization; Video-based visualization
Year: 2020 PMID: 33816956 PMCID: PMC7924531 DOI: 10.7717/peerj-cs.305
Source DB: PubMed Journal: PeerJ Comput Sci ISSN: 2376-5992