Mrs: MapReduce for Scientific Computing in Python
Published • Nov 1, 2012
Authors:,,
Andrew McNabb
Jeffrey Lund
Kevin Seppi
Abstract
The MapReduce parallel programming model is designed for large-scale data processing, but its benefits, such as fault tolerance and automatic message routing, are also helpful for computationally-intensive algorithms. However, popular MapReduce frameworks such as Hadoop are slow for many scientific ...
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