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Title: MapReduce-MPI Library Users Manual
Author: Sandia National Laboratories
Abstract: The MapReduce-MPI (MR-MPI) library is open-source software that
implements the "MapReduce operation" popularized by Google on top
of standard MPI message passing.
.
The library is designed for parallel execution on distributed-memory
platforms, but will also operate on a single processor. It requires
no additional software to build and run, except linking with an MPI
library if you wish to perform MapReduces in parallel. Similar to the
original Google design, a user performs a MapReduce by writing a small
program that invokes the library. The user typically provides two
application-specific functions, a "map()" and a "reduce()", that are
called back from the library when a MapReduce operation is executed.
"Map()" and "reduce()" are serial functions, meaning they are invoked
independently on individual processors on portions of your data when
performing a MapReduce operation in parallel.
Section: Science/Data Analysis
Format: HTML
Index: /usr/share/doc/mrmpi-doc/Manual.html
Files: /usr/share/doc/mrmpi-doc/*.html
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