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Hadi Aghassi, Farrokh Aghassi
The reliability analysis of critical systems can be performed using fault tree analysis. One of the common approaches used for fault tree analysis is Monte Carlo simulation. The purpose of this paper is therefore to show an algorithm to speed up Monte Carlo simulation for analyzing fault tree with parallel computing in GPU. To this […]
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Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili
Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain experts to optimize a high performance application for a very specific and well documented system, it may not perform as well or even function on a different system. Developers who have less experience with […]
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Stephane Gobron, Herve Bonafos and Daniel Mestre
We propose a graphics processor unit (GPU)-accelerated method for real-time computing and rendering cellular automata (CA) that is applied to hexagonal grids.Based on our previous work [9] -which introduced first and second dimensional cases- this paper presents a model for hexagonal grid algorithms. Proposed method is novel and it encodes and transmits large CA key-codes […]
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Arno Kruger, Christoph Kubisch, Bernhard Preim, Gero Strauss
For difficult cases in endoscopic sinus surgery, a careful planning of the intervention is necessary. Due to the reduced field of view during the intervention, the surgeons have less information about the surrounding structures in the working area compared to open surgery. Virtual endoscopy enables the visualization of the operating field and additional information, such […]
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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.

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Node 1
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  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: AMD APP SDK 2.9
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  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

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