CellMR: A Framework for Supporting MapReduce on Asymmetric Cell-Based Clusters

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Provided by: Virginia Systems
Topic: Hardware
Format: PDF
The use of asymmetric multi-core processors with on-chip computational accelerators is becoming common in a variety of environments ranging from scientific computing to enterprise applications. The focus of current research has been on making efficient use of individual systems, and porting applications to asymmetric processors. In this paper, the authors take the next step by investigating the use of multi-core based systems, especially the popular cell processor, in a cluster setting. They present CellMR, an efficient and scalable implementation of the MapReduce framework for asymmetric cell-based clusters.
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