Using Advanced MPI: Modern Features of the Message-Passing Interface

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MIT Press, Nov 7, 2014 - Computers - 392 pages
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A guide to advanced features of MPI, reflecting the latest version of the MPI standard, that takes an example-driven, tutorial approach.

This book offers a practical guide to the advanced features of the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. It covers new features added in MPI-3, the latest version of the MPI standard, and updates from MPI-2. Like its companion volume, Using MPI, the book takes an informal, example-driven, tutorial approach. The material in each chapter is organized according to the complexity of the programs used as examples, starting with the simplest example and moving to more complex ones.

Using Advanced MPI covers major changes in MPI-3, including changes to remote memory access and one-sided communication that simplify semantics and enable better performance on modern hardware; new features such as nonblocking and neighborhood collectives for greater scalability on large systems; and minor updates to parallel I/O and dynamic processes. It also covers support for hybrid shared-memory/message-passing programming; MPI_Message, which aids in certain types of multithreaded programming; features that handle very large data; an interface that allows the programmer and the developer to access performance data; and a new binding of MPI to Fortran.

 

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Contents

1 Introduction
1
2 Working with LargeScale Systems
15
3 Introduction to Remote Memory Operations
55
4 Advanced Remote Memory Access
101
5 Using Shared Memory with MPI
157
6 Hybrid Programming
169
7 Parallel IO
187
8 Coping with Large Data
243
11 Working with Modern Fortran
305
12 Features for Libraries
313
13 Conclusions
341
MPI Resources on the World Wide Web
343
References
345
Subject Index
353
Function and Term Index
359
Scientific and Engineering Computation Series List
365

9 Support for Performance and Correctness Debugging
249
10 Dynamic Process Management
271

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About the author (2014)

William Gropp is Director of the Parallel Computing Institute and Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign.

Torsten Hoefler is Assistant Professor of Computer Science at ETH Zurich.

Rajeev Thakur is Deputy Director in the Mathematics and Computer Science Division at Argonne National Laboratory.

Ewing Lusk is Argonne Distinguished Fellow Emeritus at Argonne National Laboratory.

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