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This volume covers issues in parallel computing and programming, such as true portability, deadlock, high-performance message passing, and libraries for distributed and parallel computing. The authors explain why certain design choices were made and how users are meant to use the MPI interface.
- Sales Rank: #6398910 in Books
- Published on: 1996-01
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 8.00" w x 1.00" l,
- Binding: Paperback
- 336 pages
About the Author
Marc Snir is Senior Manager, Scalable Parallel Systems, IBM Research Division. Steve Otto is Senior Staff Engineer, Strategic CAD Labs, Intel Corp. Steven Huss-Lederman is Associate Scientist, Computer Sciences Department, University of Wisconsin. David Walker is Professor of High Performance Computing in the Department of Computer Science, University of Wales, Cardiff. Jack Dongarra is Distinguished Professor, Department of Computer Science, University of Tennessee, and Distinguished Scientist, Mathematical Sciences Section, Oak Ridge National Laboratory.
Most helpful customer reviews
19 of 19 people found the following review helpful.
A great reference for both C and FORTRAN users!
By A Customer
As the title implies, this book is a great reference for someone who is looking for a guide to the syntax and usage of MPI. The book does not teach "parallel programming" and doesn't discuss other parallel programming tools which means that the nuts and bolts of MPI are all the more clearly presented and accessible. Furthermore, there are still plenty of examples which demonstrate the usage of the many MPI functions.
Another very valuable (and appreciated) aspect of the book is that *both* the C and FORTRAN prototypes are given when new MPI functions are presented (the C and FORTRAN implementations have slightly different forms).
12 of 13 people found the following review helpful.
Excellent Reference
By lpochet@vt.edu
Set up more as a reference than a tutorial, this book allows users with a very basic understanding of MPI to really take off up the learning curve
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