- Series: Scientific and Engineering Computation
- Paperback: 299 pages
- Publisher: The MIT Press (November 8, 1994)
- Language: English
- ISBN-10: 0262571080
- ISBN-13: 978-0262571081
- Product Dimensions: 7.8 x 0.7 x 8.9 inches
- Shipping Weight: 1.6 pounds (View shipping rates and policies)
- Average Customer Review: 2 customer reviews
- Amazon Best Sellers Rank: #3,922,699 in Books (See Top 100 in Books)
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PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Scientific and Engineering Computation) Paperback – November 8, 1994
About the Author
George A. Geist II is Research Scientist at Oak Ridge National Laboratory. Adam Beguelin is Research Computer Scientist in the School of Computer Science at Carnegie Mellon University. Jack Dongarra is Distinguished Scientist, Weicheng Jiang is Research Associate, and Robert Manchek is Senior Research Associate in the Department of Computer Science at the University of Tennessee. Vaidyalingam S. Sunderam is Associate Professor in the Department of Mathematics and Computer Science at Emory University.
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Top customer reviews
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What sets PVM apart from the others is its emphasis on the pragmatics of multi-computer coordination. More than the usual SPMD coordination, it has facilities for managing the ensemble. It even has facilities for signalling runaway processes and for recovering from lost nodes and other errors. And, although the authors note many system-dependent specifics, they address issues that arise in managing the server daemons, crossing administrative boundaries, and other pragmatics of parallel computing.
Most of the book is taken up with code samples and man pages for the PVM API. That gives it a very hands-on, practical feel, short on the philosophical and theoretical tone of other books on parallelism APIs. PVM doesn't depend on special compilers, so it's a bit easier for C programmers to approach than OpenMP is. And it's a compact API with just a few central concepts, mostly drawn from standard C idioms, so it's lot simpler that MPI. The book's mention of MasPar, Kendall Square Research, DEC, and Thinking Machines gives an antiquated sense, though. I'm not sure how common PVM is, these days, but if it's what you have, then this is the book for you.
This book is a good tutorial and introduction to PVM but the problem is it talks alot about strange computers and things you will most likely never heard of (HIPPI,bit-vector computers). While it is cool stuff, it's pretty old now. But, PVM is still alot easier (IMHO) to get into than MPI.
Or you can just roll your message passing code by hand using TCP/IP too.