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...using the Map Reduce programming model. We also use IBM's TSpaces to implement a shared memory implementation that can be accessed via R(somewhat like networkspaces). RHIPE uses Rserve to execute R code. Some of the functions implemented are: mrlapply - run lapply across a Hadoop cluster mrsubsetf - subset a file according to an R function mtapplyf - run a tapply on a file - mrmapreduce - run a map reduce algorithm on a file or group of files. The user provides a mapper and reducer. The are also some shared memory operations such as mrread,mrtake,mrput. Currently, it is at a proof of con...