BG_Flood

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

https://github.com/CyprienBosserelle/BG_Flood

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: acm.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.2%) to scientific vocabulary

Keywords

adaptive flood gpu inundation rain river storm surge tsunami
Last synced: 6 months ago · JSON representation

Repository

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)

Basic Info
  • Host: GitHub
  • Owner: CyprienBosserelle
  • License: gpl-3.0
  • Language: Cuda
  • Default Branch: master
  • Homepage:
  • Size: 192 MB
Statistics
  • Stars: 41
  • Watchers: 9
  • Forks: 16
  • Open Issues: 30
  • Releases: 12
Topics
adaptive flood gpu inundation rain river storm surge tsunami
Created over 8 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

BG Flood

Numerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational.

The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio et al. 2017)

The adaptive version of the model is currently under heavy developement. Makefile in the master branch is not operational and general process may be broken in other branches as well.

License: GPL v3 Documentation (Work in progress)

Build status

development: Build Status

Testing

CI devlopment: CI

Owner

  • Name: Cyprien Bosserelle
  • Login: CyprienBosserelle
  • Kind: user
  • Company: @niwa

Coastal Oceanographer

GitHub Events

Total
  • Issues event: 2
  • Watch event: 7
  • Issue comment event: 5
  • Push event: 117
  • Pull request event: 11
  • Fork event: 1
  • Create event: 5
Last Year
  • Issues event: 2
  • Watch event: 7
  • Issue comment event: 5
  • Push event: 117
  • Pull request event: 11
  • Fork event: 1
  • Create event: 5

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 832
  • Total Committers: 6
  • Avg Commits per committer: 138.667
  • Development Distribution Score (DDS): 0.18
Past Year
  • Commits: 26
  • Committers: 1
  • Avg Commits per committer: 26.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Cyprien Bosserelle c****e@g****m 682
github-actions[bot] g****] 124
Wolfgang Hayek w****k@n****z 17
Chris Scott c****s@c****k 3
AliceHarang 8****g 3
bosserellec b****c@n****l 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 47
  • Total pull requests: 76
  • Average time to close issues: about 1 year
  • Average time to close pull requests: about 2 months
  • Total issue authors: 7
  • Total pull request authors: 2
  • Average comments per issue: 1.02
  • Average comments per pull request: 1.01
  • Merged pull requests: 46
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 11
  • Average time to close issues: N/A
  • Average time to close pull requests: 13 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.36
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • CyprienBosserelle (34)
  • AliceHarang (7)
  • rosepearson (2)
  • JudGiblin (1)
  • RegMeasures (1)
  • GuglielmoStecca (1)
  • lj-cug (1)
Pull Request Authors
  • CyprienBosserelle (60)
  • AliceHarang (16)
Top Labels
Issue Labels
bug (11) enhancement (10) Code cleanup (3) wontfix (1) Easytofix (1) Polls (1)
Pull Request Labels