8685

GPU Environmental Delegation of Agent Perceptions for MABS

Fabien Michel
Laboratoire d’Informatique, de Microelectronique, et de Robotique Montpellier, Universite Montpellier II – CNRS, 161 rue Ada, Montpellier Cedex 2, France
International Conference on Complex Systems (ICCS’12), 2012
@article{michel2012gpu,

   title={GPU Environmental Delegation of Agent Perceptions for MABS},

   author={Michel, F.},

   year={2012}

}

Download Download (PDF)   View View   Source Source   

422

views

Considering the digital simulation of complex systems, General-Purpose Computing on Graphics Processing Units (GPGPU) is a relevant approach for addressing scalability issues. However, GPU programming is a very specific approach that strongly limits both the accessibility and the re-usability of the frameworks developed using GPGPU. This paper presents our approach for the integration of GPU modules in a Multi-Agent Based Simulation (MABS) platform. Especially, this paper shows how we keep the programming accessibility of the platform while gaining advantages of the GPU power. The paper also presents how this approach could be generalized and proposes a MABS design guideline dedicated to the GPU context.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Follow us on Twitter

HGPU group

1496 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

255 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: