TRITON: A Multi-GPU open source 2D hydrodynamic flood model
Abstract
A new open source multi-GPU 2D flood model called TRITON is presented in this work. The model solves the 2D shallow water equations with source terms using a time-explicit first order upwind scheme based on an Augmented Roe's solver that incorporates a careful estimation of bed strengths and a local implicit formulation of friction terms. Here, the scheme is demonstrated to be first order accurate, robust and able to solve for flows under various conditions. TRITON is implemented such that the model effectively utilizes heterogeneous architectures, from single to multiple CPUs and GPUs. Different test cases are shown to illustrate the capabilities and performance of the model, showing promising runtimes for large spatial and temporal scales when leveraging the computer power of GPUs. Under this hardware configuration, communication and input/output subroutines may impact the scalability. The code is developed under an open source license and can be freely downloaded in https://code.ornl.gov/hydro/triton.
- Authors:
-
[1];
[1];
[1];
[3];
[1]
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Tennessee Technological Univ., Cookeville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1783054
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Environmental Modelling and Software
- Additional Journal Information:
- Journal Volume: 141; Journal ID: ISSN 1364-8152
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 2D flood model; Open source; Multi-GPU; High-resolution; Shallow water equations
Citation Formats
Morales-Hernández, Mario, Sharif, Md Bulbul, Kalyanapu, A., Ghafoor, Sheikh K., Dullo, Tigstu T., Gangrade, Sudershan, Kao, Shih-Chieh, Norman, Matthew R., and Evans, Katherine J. TRITON: A Multi-GPU open source 2D hydrodynamic flood model. United States: N. p., 2021.
Web. doi:10.1016/j.envsoft.2021.105034.
Morales-Hernández, Mario, Sharif, Md Bulbul, Kalyanapu, A., Ghafoor, Sheikh K., Dullo, Tigstu T., Gangrade, Sudershan, Kao, Shih-Chieh, Norman, Matthew R., & Evans, Katherine J. TRITON: A Multi-GPU open source 2D hydrodynamic flood model. United States. https://doi.org/10.1016/j.envsoft.2021.105034
Morales-Hernández, Mario, Sharif, Md Bulbul, Kalyanapu, A., Ghafoor, Sheikh K., Dullo, Tigstu T., Gangrade, Sudershan, Kao, Shih-Chieh, Norman, Matthew R., and Evans, Katherine J. Fri .
"TRITON: A Multi-GPU open source 2D hydrodynamic flood model". United States. https://doi.org/10.1016/j.envsoft.2021.105034. https://www.osti.gov/servlets/purl/1783054.
@article{osti_1783054,
title = {TRITON: A Multi-GPU open source 2D hydrodynamic flood model},
author = {Morales-Hernández, Mario and Sharif, Md Bulbul and Kalyanapu, A. and Ghafoor, Sheikh K. and Dullo, Tigstu T. and Gangrade, Sudershan and Kao, Shih-Chieh and Norman, Matthew R. and Evans, Katherine J.},
abstractNote = {A new open source multi-GPU 2D flood model called TRITON is presented in this work. The model solves the 2D shallow water equations with source terms using a time-explicit first order upwind scheme based on an Augmented Roe's solver that incorporates a careful estimation of bed strengths and a local implicit formulation of friction terms. Here, the scheme is demonstrated to be first order accurate, robust and able to solve for flows under various conditions. TRITON is implemented such that the model effectively utilizes heterogeneous architectures, from single to multiple CPUs and GPUs. Different test cases are shown to illustrate the capabilities and performance of the model, showing promising runtimes for large spatial and temporal scales when leveraging the computer power of GPUs. Under this hardware configuration, communication and input/output subroutines may impact the scalability. The code is developed under an open source license and can be freely downloaded in https://code.ornl.gov/hydro/triton.},
doi = {10.1016/j.envsoft.2021.105034},
journal = {Environmental Modelling and Software},
number = ,
volume = 141,
place = {United States},
year = {Fri Apr 02 00:00:00 EDT 2021},
month = {Fri Apr 02 00:00:00 EDT 2021}
}
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