9343

Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples

Benjamin D. Wibking
Vanderbilt University, Department of Physics and Astronomy
Vanderbilt University, 2013
@article{wibking2013simulating,

   title={Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples},

   author={Wibking, Benjamin},

   year={2013},

   publisher={Vanderbilt University. Department of Physics and Astronomy}

}

Download Download (PDF)   View View   Source Source   Source codes Source codes

Package:

822

views

We demonstrate the acceleration obtained from using GPU/CPU hybrid clusters and supercomputers for N-body simulations of gravity based in part on the author’s new code development. Validation tests are shown for cosmological simulations and for galaxy simulations, along with their respective speedups compared to traditional simulations. Potential new applications for science enabled by this advance are highlighted.
VN:F [1.9.22_1171]
Rating: 4.0/5 (1 vote cast)
Simulating the universe with GPU-accelerated supercomputers: n-body methods, tests, and examples, 4.0 out of 5 based on 1 rating

* * *

* * *

Like us on Facebook

HGPU group

123 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1181 peoples are following HGPU @twitter

* * *

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 13.1
  • SDK: AMD APP SDK 2.9
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 6.0.1, AMD APP SDK 2.9

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: