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Evaluating MapReduce for Multi-core and Multiprocessor Systems

January 2, 2008

This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers with thousands of servers. It allows programmers to write functional-style code that is automatically parallelized and scheduled in a distributed system.

We describe Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix runtime automatically manages thread creation, dynamic task scheduling, data partitioning, and fault tolerance across processor nodes. We study Phoenix with…

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One comment

  1. […] such model already exists – MapReduce. More recently a paper was presented for running MapReduce on multi-core systems. This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor […]



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