SynxFlow: A GPU-accelerated Python package for multi-hazard simulations

Xilin Xia; Xiaodong Ming

doi:10.21105/joss.07586

SynxFlow: A GPU-accelerated Python package for multi-hazard simulations

Xilin Xia^*
, Xiaodong Ming

^*Corresponding author for this work

Civil Engineering

Research output: Contribution to journal › Article › peer-review

3 Downloads (Pure)

Abstract

SynxFlow can dynamically simulate flood inundation, landslides runout and debris flows using multiple CUDA-enabled GPUs. It also offers a Python interface for users to set up simulations and visualise outputs. The software is interoperable with popular packages such as numpy, pandas and rasterio. Therefore, SynxFlow can be integrated into data science workflows to streamline and accelerate hazard risk assessment tasks.

Original language	English
Article number	7586
Number of pages	3
Journal	Journal of Open Source Software
Volume	10
Issue number	111
DOIs	https://doi.org/10.21105/joss.07586
Publication status	Published - 8 Jul 2025

Access to Document

10.21105/joss.07586Licence: Creative Commons: Attribution (CC BY)

XiaX2025SynxFlowFinal published version, 199 KBLicence: Creative Commons: Attribution (CC BY)

An improved depth-averaged landslide dam breach model with modified sediment transport and bank collapse algorithms
Xia, X., 31 Jan 2026, In: Computers and Geotechnics. 193, 2026
Research output: Contribution to journal › Article › peer-review
An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition
Xia, X., Jarsve, K. T., Dijkstra, T., Liang, Q., Meng, X. & Chen, G., 5 Dec 2023, In: Engineering Geology. 326, 107310.
Research output: Contribution to journal › Article › peer-review

Open Access
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A new efficient implicit scheme for discretising the stiff friction terms in the shallow water equations
Xia, X. & Liang, Q., 2018, In: Advances in Water Resources.
Research output: Contribution to journal › Article › peer-review
An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations
Xia, X., Liang, Q., Ming, X. & Hou, J., 2017, In: Water Resources Research.
Research output: Contribution to journal › Article › peer-review

Baskerville 2.0: Enhanced Provision for High End and On-Demand Users
Styles, I. (Principal Investigator)
Engineering & Physical Science Research Council
4/01/22 → 3/05/22
Project: Research Councils
Baskerville: a national accelerated compute resource
Cai, B. (Co-Investigator) & Morris, A. (Principal Investigator)
Engineering & Physical Science Research Council, Lenovo UK Limited
13/10/20 → 31/03/25
Project: Research Councils

Cite this

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title = "SynxFlow: A GPU-accelerated Python package for multi-hazard simulations",

abstract = "SynxFlow can dynamically simulate flood inundation, landslides runout and debris flows using multiple CUDA-enabled GPUs. It also offers a Python interface for users to set up simulations and visualise outputs. The software is interoperable with popular packages such as numpy, pandas and rasterio. Therefore, SynxFlow can be integrated into data science workflows to streamline and accelerate hazard risk assessment tasks.",

author = "Xilin Xia and Xiaodong Ming",

year = "2025",

month = jul,

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doi = "10.21105/joss.07586",

language = "English",

volume = "10",

journal = "Journal of Open Source Software",

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number = "111",

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AU - Xia, Xilin

AU - Ming, Xiaodong

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AB - SynxFlow can dynamically simulate flood inundation, landslides runout and debris flows using multiple CUDA-enabled GPUs. It also offers a Python interface for users to set up simulations and visualise outputs. The software is interoperable with popular packages such as numpy, pandas and rasterio. Therefore, SynxFlow can be integrated into data science workflows to streamline and accelerate hazard risk assessment tasks.

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SynxFlow: A GPU-accelerated Python package for multi-hazard simulations

Abstract

Access to Document

Fingerprint

Research output

An improved depth-averaged landslide dam breach model with modified sediment transport and bank collapse algorithms

An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition

A new efficient implicit scheme for discretising the stiff friction terms in the shallow water equations

An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations

Projects

Baskerville 2.0: Enhanced Provision for High End and On-Demand Users

Baskerville: a national accelerated compute resource

Cite this