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Clustering algorithm for stream data, as one of stream data mining technologies, has extensive applications on network traffic analysis, telecommunication, planetary remote sensing, web site analysis, etc. Clustering algorithm for stream data has a high demand for real-time processing, but current clustering algorithms for stream data, such as Clustream, Dstream, are all based on sequential algorithms,...
The desktop virtualization environment could propose a solution for the high-definition video processing, which used multi-GPU collaboration and parallel computing. The multi-GPU parallel encoding computing is often implemented by multi-threads mode. Based on the analysis of the GPU multi-level storage structure, and data transmission between CPU and GPU, pinned memory (zero-copy memory) and shared...
Currently, AES is regarded as the most popular symmetric cryptographic algorithm. It is very significant to develop high performance AES to further broaden its widespread applications. And in this paper, it is mainly about the different optimized designs and implementations of AES algorithm. Firstly, it tests the fast implementation of AES algorithm and the performance has been improved by about 50...
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