Message Passing Interface (MPI)

The goal of the Message Passing Interface (MPI) is to provide a standard library of routines for writing portable and efficient message passing programs. MPI is not a language; it is a specification of a library of routines that can be called from programs. MPI provides a rich collection of point‐to...

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Bibliographic Details
Published in:Advanced Computer Architecture and Parallel Processing pp. 205 - 233
Main Authors: El‐Rewini, Hesham, Abd‐El‐Barr, Mostafa
Format: Book Chapter
Language:English
Published: Hoboken, NJ, USA John Wiley & Sons, Inc 17.12.2004
Series:Wiley Series on Parallel and Distributed Computing
Subjects:
collective operations
communicators
concurrent communicating tasks
inter‐communicators
message passing interface (MPI)
MPI message receiving mechanisms
MPI message sending mechanisms
MPI one‐sided communication
MPI software implementation
MPI task creation methods
task communication mechanisms
task ranking
tasks synchronization techniques
virtual topologies
ISBN:9780471467403, 0471467405
Online Access:Get full text
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Summary:The goal of the Message Passing Interface (MPI) is to provide a standard library of routines for writing portable and efficient message passing programs. MPI is not a language; it is a specification of a library of routines that can be called from programs. MPI provides a rich collection of point‐to‐point communication routines and collective operations for data movement, global computation, and synchronization. The MPI standard has evolved with the work around MPI‐2, which extended MPI to add more features including: dynamic processes, client‐server support, one‐sided communication, parallel I/O, and non‐blocking collective communication functions. In this chapter, we discuss a number of the important functions and programming techniques introduced so far. An MPI application can be visualized as a collection of concurrent communicating tasks. A program includes code written by the application programmer that is linked with a function library provided by the MPI software implementation. Each task is assigned a unique rank within a certain context: an integer number between 0 and n‐1 for an MPI application consisting of n tasks. These ranks are used by MPI tasks to identify each other in sending and receiving messages, to execute collective operations, and to cooperate in general. MPI tasks can run on the same processor or on different processors concurrently.
ISBN:9780471467403
0471467405
DOI:10.1002/0471478385.ch9