Development of a Virtual Reality Training Program: Integrating FDS Simulation and Performance Optimization with Unreal Engine on Heterogeneous Hardware

20997 6 111757 2 337751 document 111757 978-981-96-9709-0.pdf application/pdf 5281099cce09f9610d9f489ee5501abb MD5 21963070 2025-11-19 09:54:15 https://pure.iiasa.ac.at/id/eprint/20997/1/978-981-96-9709-0.pdf 20997 1 1 application/pdf text en public cc_by_4

978-981-96-9709-0.pdf

published 111760 1 337765 document 111760 indexcodes.txt text/plain e195bcd3dc3c88dea06ccbbe57b50b5d MD5 80049 2025-11-19 10:04:12 https://pure.iiasa.ac.at/id/eprint/20997/2/indexcodes.txt 20997 2 2 text/plain other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/111757 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/111757 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/111757 archive 353 disk0/00/02/09/97 2025-11-19 09:56:08 2025-11-19 09:56:08 2025-11-19 09:56:08 book_section show Kim D. 2005 Development of a Virtual Reality Training Program: Integrating FDS Simulation and Performance Optimization with Unreal Engine on Heterogeneous Hardware pub BNR AFE To develop a more realistic virtual reality firefighting training platform, this study utilizes fire spread data, including smoke and heat, obtained from numerical simulations using the Fire Dynamics Simulator (FDS). FDS employs MPI and OpenMP for large-scale fire simulations by dividing computational domains into sub-domains, with OpenACC applied to support heterogeneous hardware architectures. Performance tests using CSIRO Grassland Fires demonstrated a 1.89 × speedup with combined CPU-GPU computation and a 21 × speedup with 1 GPU and 16 CPUs, validating enhanced fire analysis capabilities. Additionally, existing VR engines were improved by integrating WFDS data into Unreal Engine for realistic smoke and heat visualization using FGA files. The program dynamically visualizes flame and smoke movements based on wind speed and direction, achieving a 100% match between WFDS data and Unreal Engine output, with combustion stages rendered in real-time through mass-based material updates. 2026 published Springer doi:10.1007/978-981-96-9709-0_16 3199 public Singapore 235-243 9 TRUE 978-981-96-9709-0 Proceedings of Tenth International Congress on Information and Communication Technology Yang X.S. Sherratt R.S. Dey N. Joshi A. info:eu-repo/semantics/bookPart