Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices

Andre R. Brodtkorb, Martin L. Saetra
SINTEF ICT, Department of Applied Mathematics, NO-0314 Oslo, Norway
XIX International Conference on Water Resources (CMWR), 2012

   title={Explicit Shallow Water Simulations on GPUs: Guidelines and Best Practices},

   author={Brodtkorb, Andre R. and Saetra, Martin L.},



Download Download (PDF)   View View   Source Source   



Graphics processing units have now been used for scientific calculations for over a decade, going from early proof-of-concepts to industrial use today. The inherent reason is that graphics processors are far more powerful than CPUs when it comes to both floating point operations and memory bandwidth, illustrated by the fact that three of the top 500 supercomputers in the world now use GPU acceleration. In this paper, we present guidelines and best practices for harvesting the power of graphics processing units for shallow water simulations through stencil computations.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Follow us on Twitter

HGPU group

1658 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

335 people like HGPU on Facebook

* * *

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: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

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 © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: