CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Michele Guidolin, Andrew Duncan, Bidur Ghimire, Mike Gibson, Edward Keedwell, Albert S. Chen, Slobodan Djordjevic, Dragan Savic
Centre for Water Systems, University of Exeter, North Park Road, Exeter, EX44QF, UK
10th International Conference on Hydroinformatics (HIC 2012), 2012
@article{guidolin2012caddies,

   title={CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation},

   author={Guidolin, M. and Duncan, A. and Ghimire, B. and Gibson, M. and Keedwell, E. and Chen, A.S. and Djordevic, S. and Savic, D.},

   publisher={IWA (International Water Association)},

   year={2012}

}

Download Download (PDF)   View View   Source Source   
A recent trend in the development of flood simulation algorithms shows the move toward fast simplified models instead of slow full hydrodynamic models. CADDIES is a research project that aims to develop a real/near-real time pluvial urban flood simulation model using the computational speed of cellular automata (CA) algorithms. This paper presents a component of the software framework that is part of the CADDIES project. Its objective is to simplify the development of CA algorithms and their acceleration using modern high performance hardware and techniques. The performance results obtained on a simple case study clearly demonstrate the effectiveness and efficiency of the CADDIES framework.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

You must be logged in to post a comment.

* * *

* * *

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 11.4
  • SDK: AMD APP SDK 2.8
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 5.0.35, AMD APP SDK 2.8

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2014 hgpu.org

All rights belong to the respective authors

Contact us:

contact@hgpu.org