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This paper realizes the K-Means clustering algorithm in the cloud computing. the MapReduce programming ideas are applied to text clustering in hadoop platform, and improve text clustering processing speed on the basis of ensuring the accuracy of clustering. Experiments prove that the cloud computing can significantly improve the clustering algorithm processing speed.
Sparse matrix-vector multiplication (SpMV) is a common operation in numerical linear algebra and is the computational kernel of many scientific applications. It is one of the original and perhaps most studied targets for FPGA acceleration. Despite this, GPUs, which have only recently gained both general-purpose programmability and native support for double precision floating-point arithmetic, are...
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