Copyright © 2005-2007 Douglas Gregor, Matthias Troyer, Trustees of Indiana University
Table of Contents
Boost.MPI is a library for message passing in high-performance parallel applications. A Boost.MPI program is one or more processes that can communicate either via sending and receiving individual messages (point-to-point communication) or by coordinating as a group (collective communication). Unlike communication in threaded environments or using a shared-memory library, Boost.MPI processes can be spread across many different machines, possibly with different operating systems and underlying architectures.
Boost.MPI is not a completely new parallel programming library. Rather, it is a C++-friendly interface to the standard Message Passing Interface (MPI), the most popular library interface for high-performance, distributed computing. MPI defines a library interface, available from C, Fortran, and C++, for which there are many MPI implementations. Although there exist C++ bindings for MPI, they offer little functionality over the C bindings. The Boost.MPI library provides an alternative C++ interface to MPI that better supports modern C++ development styles, including complete support for user-defined data types and C++ Standard Library types, arbitrary function objects for collective algorithms, and the use of modern C++ library techniques to maintain maximal efficiency.
At present, Boost.MPI supports the majority of functionality in MPI 1.1. The thin abstractions in Boost.MPI allow one to easily combine it with calls to the underlying C MPI library. Boost.MPI currently supports:
gatherwith both built-in and user-defined data types and function objects.
Boost.MPI can be accessed either through its native C++ bindings, or through its alternative, Python interface.