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Lei Wang, Yong-Zhong Huang, Xin Chen, Chun-Yan Zhang
With the rapid development of GPU (Graphics Processor Unit) in recent years, GPGPU (General-Purpose computation on GPU) has become an important technique in scientific research. However GPU might well be seen more as a cooperator than a rival to CPU. Therefore, we focus on exploiting the power of CPU and GPU in solving generic problems […]
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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Joseph Euzebe Tate, Thomas J. Overbye
To improve situational awareness in power systems, one useful tool used in control centers is bus (or substation) data contouring. Traditionally, the methods developed have used CPU processing, leading to long contour rendering times that reduce interactivity with the visualization. To improve interactivity and increase the data rate which can be handled, contouring methods utilizing […]
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Dominik Goddeke
The main contribution of this thesis is to demonstrate that graphics processors (GPUs) as representatives of emerging many-core architectures are very well-suited for the fast and accurate solution of large sparse linear systems of equations, using parallel multigrid methods on heterogeneous compute clusters. Such systems arise for instance in the discretisation of (elliptic) partial differential […]
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