mrmpi 1.0~20130311-3 source package in Ubuntu

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mrmpi (1.0~20130311-3) unstable; urgency=low


  * Remove symbols file for now

 -- Mathieu Malaterre <email address hidden>  Mon, 10 Jun 2013 09:07:15 +0200

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
devel
Urgency:
Low Urgency

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mrmpi_1.0~20130311-3.dsc 2.1 KiB 78a2cee2e6a7a386f31347ddc38b65840b4fb58605e9391c91afcd914e80e6cd
mrmpi_1.0~20130311.orig.tar.gz 228.4 KiB 9af76277c4f471409e564403fc7b3f749acbf3b6a4ae762aa7165f8d11bd683a
mrmpi_1.0~20130311-3.debian.tar.gz 6.2 KiB 98e4a52ca827528507b04acbaf3fd979328416f15f53d7b5d8ad55154b4957e4

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Binary packages built by this source

libmrmpi-dev: No summary available for libmrmpi-dev in ubuntu saucy.

No description available for libmrmpi-dev in ubuntu saucy.

libmrmpi1: Implements MapReduce operation on top of standard MPI message - runtime

 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 MR-MPI library is written in C++ and is callable from hi-level langauges
 such as C++, C, Fortran. A Python wrapper is also included, so MapReduce
 programs can be written in Python, including map() and reduce() user callback
 methods. A hi-level scripting interface to the MR-MPI library, called OINK, is
 also included which can be used to develop and chain MapReduce algorithms
 together in scripts with commands that simplify data management tasks. OINK has
 its own manual and doc pages.
 .
 This package contains the libraries needed to run MapReduce-MPI applications.

mrmpi-doc: Implements MapReduce operation on top of standard MPI message - doc

 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 MR-MPI library is written in C++ and is callable from hi-level langauges
 such as C++, C, Fortran. A Python wrapper is also included, so MapReduce
 programs can be written in Python, including map() and reduce() user callback
 methods. A hi-level scripting interface to the MR-MPI library, called OINK, is
 also included which can be used to develop and chain MapReduce algorithms
 together in scripts with commands that simplify data management tasks. OINK has
 its own manual and doc pages.
 .
 This package contains the documentation for MapReduce-MPI libraries.