Evaluating MapReduce for Multi-core and Multiprocessor Systems
January 2, 2008This 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…
[...] 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 [...]