vFirelib: A GPU-based fire simulation and visualization tool Article Swipe
Rui Wu
,
Connor Scully-Allison
,
Chase Carthen
,
Andy Garcia
,
Roger V. Hoang
,
C. LEWIS
,
Ronn Siedrik Quijada
,
Jessica Elizabeth Smith
,
Sergiu M. Dascalu
,
J. S. Harris
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.softx.2023.101411
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.softx.2023.101411
Wildfires are a common and devastating event that impacts ecosystems and communities yearly. Fire experts rely on simulations to better understand how to mitigate the damage they cause and respond to live threats. Many available fire simulation tools and libraries do not produce simulation results fast enough to be used with multiple parameter sets during an active fire and are difficult to integrate with other applications. To address this gap, we propose a GPU-based fire simulation and visualization tool: vFirelib. Using a GPGPU (General Purpose Graphics Processing Unit) framework, we can parallelize the fire spread computations and achieve a 20X computation speedup over a sequential implementation of a fire spread using a widely used fire spread model. To facilitate the integration with other applications, we implemented a wrapper including RESTful APIs to provide fire simulation as a service. In this paper, two examples are illustrated how to simulate wildfire scenarios and visualize results: a web-based application, and a 3D virtual reality application.
Related Topics
Concepts
Computer science
Visualization
Graphics processing unit
Speedup
Graphics
CUDA
Rendering (computer graphics)
Computation
Discrete event simulation
General-purpose computing on graphics processing units
Computer graphics
Event (particle physics)
Computer graphics (images)
Simulation
Parallel computing
Data mining
Quantum mechanics
Physics
Algorithm
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.softx.2023.101411
- http://www.softxjournal.com/article/S2352711023001073/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380224680
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4380224680Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.softx.2023.101411Digital Object Identifier
- Title
-
vFirelib: A GPU-based fire simulation and visualization toolWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-30Full publication date if available
- Authors
-
Rui Wu, Connor Scully-Allison, Chase Carthen, Andy Garcia, Roger V. Hoang, C. LEWIS, Ronn Siedrik Quijada, Jessica Elizabeth Smith, Sergiu M. Dascalu, J. S. HarrisList of authors in order
- Landing page
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https://doi.org/10.1016/j.softx.2023.101411Publisher landing page
- PDF URL
-
https://www.softxjournal.com/article/S2352711023001073/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.softxjournal.com/article/S2352711023001073/pdfDirect OA link when available
- Concepts
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Computer science, Visualization, Graphics processing unit, Speedup, Graphics, CUDA, Rendering (computer graphics), Computation, Discrete event simulation, General-purpose computing on graphics processing units, Computer graphics, Event (particle physics), Computer graphics (images), Simulation, Parallel computing, Data mining, Quantum mechanics, Physics, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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