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Accelerating text mining workloads in a MapReduce-based distributed GPU environment
2013
Journal of Parallel and Distributed Computing
Scientific computations have been using GPU-enabled computers successfully, often relying on distributed nodes to overcome the limitations of device memory. Only a handful of text mining applications benefit from such infrastructure. Since the initial steps of text mining are typically data-intensive, and the ease of deployment of algorithms is an important factor in developing advanced applications, we introduce a flexible, distributed, MapReducebased text mining workflow that performs
doi:10.1016/j.jpdc.2012.10.001
fatcat:tem562gscfgqlpea3n6quj3qtq