1.

Record Nr.

UNINA9910260599803321

Autore

Gropp William

Titolo

Using MPI : portable parallel programming with the Message-Passing-Interface / / William Gropp, Ewing Lusk, and Anthony Skjellum

Pubbl/distr/stampa

Cambridge, Massachusetts : , : MIT Press, , [2014]

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2014]

ISBN

0-262-32660-4

Edizione

[Third edition.]

Descrizione fisica

1 online resource (337 p.)

Collana

Scientific and engineering computation

Disciplina

005.2/75

Soggetti

Parallel programming (Computer science)

Parallel computers - Programming

Computer interfaces

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Sommario/riassunto

This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. Since the publication of the previous edition of Using MPI, parallel computing has become mainstream. Today, applications run on computers with millions of processors; multiple processors sharing memory and multicore processors with multiple hardware threads per core are common. The MPI-3 Forum recently brought the MPI standard up to date with respect to developments in hardware capabilities, core language evolution, the needs of applications, and experience gained over the years by vendors, implementers, and users. This third edition of Using MPI reflects these changes in both text and example code. The book takes an informal, tutorial approach, introducing each concept through easy-to-understand examples, including actual code in C and Fortran. Topics include using MPI in simple programs, virtual topologies, MPI datatypes, parallel libraries, and a comparison of MPI with sockets. For the third edition, example code has been brought up to date; applications have been updated; and references reflect the recent attention MPI has received in the literature. A companion



volume, Using Advanced MPI, covers more advanced topics, including hybrid programming and coping with large data.