Data-Intensive Document Clustering on GPU Clusters

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Provided by: North Carolina State University
Topic: Big Data
Format: PDF
Document clustering is a central method to mine massive amounts of data. Due to the explosion of raw documents generated on the Internet and the necessity to analyze them efficiently in various intelligent information systems, clustering techniques have reached their limitations on single processors. Instead of single processors, general purpose multi-core chips are increasingly deployed in response to diminishing returns in single processor speedup due to the frequency wall, but multi-core benefits only provide linear speedups while the number of documents in the Internet grows exponentially.
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