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Christiaan Arnoldus, Robert Witte
It is common to exploit the co-processors of modern computer systems to speed up computations which were traditionally done on the CPU. While this is already very common for computer graphical and scientific applications, there is no reason why this cannot be extended to many different kinds of applications. In this paper we study the […]
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Rafael Palomar, Jose M. Palomares, Joaquin Olivares, Jose M. Castillo, Juan Gomez-Luna
The LIP-Canny algorithm outperforms traditional Canny edge detection in terms of edge detection under varying illumination. This method is based on a robust mathematical model (LIP paradigm), which is closer to the human vision system. However, this model requires more computations and more complex operations than the traditional paradigm. Non-parallel implementations of LIP-Canny do not […]
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Peter Vingelmann, Peter Zanaty, Frank H. P. Fitzek, Hassan Charaf
This paper describes the implementation of network coding on OpenGL-enabled graphics cards. Network coding is an interesting approach to increase the capacity and robustness in multi-hop networks. The current problem is to implement random linear network coding on mobile devices which are limited in computational power, energy, and memory. Some mobile devices are equipped with […]
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