Using Mpi, Third Edition: Portable Parallel Programming with the Message-Passing Interface

Gropp, William; Lusk, Ewing; Skjellum, Anthony

ISBN 10: 0262527391 / ISBN 13: 9780262527392

Editore: MIT Press, 2014

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Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.4. Codice articolo G0262527391I4N10

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Titolo: Using Mpi, Third Edition: Portable Parallel ...

Casa editrice: MIT Press

Data di pubblicazione: 2014

Legatura: Paperback

Condizione: Very Good

Condizione sovraccoperta: No Jacket

Edizione: terza edizione

Descrizione articolo

Riassunto:

The thoroughly updated edition of a guide to parallel programming with MPI, reflecting the latest specifications, with many detailed examples.

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.

L'autore:

William Gropp is Director of the Parallel Computing Institute and Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign. Ewing Lusk is Argonne Distinguished Fellow Emeritus at Argonne National Laboratory. Anthony Skjellum is Professor of Software Engineering at Auburn University.