Abstract
In this paper we describe an efficient GPU-based implementation of random linear network coding using NVIDIA’s CUDA toolkit. The imple-mentation takes advantage of the highly parallel nature of modern GPUs. The paper reports speed ups of 500% for encoding and 90% for decoding in comparison with a standard CPU-based implementation.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Vingelmann, P., Fitzek, F.H.P. (2010). Implementation of Random Linear Network Coding Using NVIDIA’s CUDA Toolkit. In: Doulamis, A., Mambretti, J., Tomkos, I., Varvarigou, T. (eds) Networks for Grid Applications. GridNets 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11733-6_14
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DOI: https://doi.org/10.1007/978-3-642-11733-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11732-9
Online ISBN: 978-3-642-11733-6
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