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UID:submissions.pasc-conference.org_PASC24_sess151_pos159@linklings.com
SUMMARY:P05 - Advancing Flood Simulations with TRITON: A Multi-GPU 2D Hydr
 odynamic Modeling Code
DESCRIPTION:Poster\n\nMario Morales-Hernandez (University of Zaragoza), Su
 dershan Gangrade (Oak Ridge National Laboratory), Daniel Lassiter (Univers
 ity of Virginia), Michael Kelleher and Ganesh Ghimire (Oak Ridge National 
 Laboratory), Javier Fernández-Pato (EEAD-CSIC), and Shih-Chieh Kao (Oak Ri
 dge National Laboratory)\n\nTRITON, the Two-dimensional Runoff Inundation 
 Toolkit for Operational Needs, represents a major advancement in hydrodyna
 mic flood modeling. This open-source, multi-GPU 2D model, accessible at ht
 tps://code.ornl.gov/hydro/triton, is tailored for extreme hydrological eve
 nts in a changing environment. Using a physics-based approach, TRITON effe
 ctively solves 2D shallow water equations. Written in C++ and CUDA, TRITON
  ensures accuracy and versatility, being adaptable to various computing ar
 chitectures. Recent enhancements include a dynamic load balancing (DLB) al
 gorithm for efficient management of wet/dry flood scenarios, ensuring both
  accuracy and efficiency in simulations. TRITON has also been adapted to r
 un on different GPU architectures through HIP, ensuring compatibility with
  AMD GPUs. TRITON's scalability demonstrates its ability to handle large-s
 cale computational demands effectively. It has been used successfully to s
 imulate the 2019 Midwestern United States flood in the Missouri River Basi
 n, showcasing its power in large-scale hydrodynamic modeling. Additionally
 , TRITON's coupling with the Storm Water Management Model (SWMM) enables i
 ntegrated urban flood modeling. Despite CPU-GPU complexities, scalability 
 tests for these hybrid configurations show promising results, making TRITO
 N a valuable tool for urban flood risk assessment and management.
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