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Pvm: Parallel Virtual Machine : A Users' Guide and Tutorial for Networked Parallel Computing
By Jack Dongarra (contributor), Adam Beguelin, Al Geist (editor) and Al Geist
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Bibliographic Detail
Publisher Mit Pr
Publication date November 8, 1994
Binding Paperback
Book category Adult Non-Fiction
ISBN-13 9780262571081
ISBN-10 0262571080
Dimensions 0.75 by 8 by 9 in.
Weight 1.40 lbs.
Original list price $38.00
Summaries and Reviews
Amazon.com description: Product Description:

Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources. PVM introduces distributed computing, discusses where and how to get the PVM software, provides an overview of PVM and a tutorial on setting up and running existing programs, and introduces basic programming techniques including putting PVM in existing code. There are program examples and details on how PVM works on UNIX and multiprocessor systems, along with advanced topics (portability, debugging, improving performance) and troubleshooting.

PVM (Parallel Virtual Machine) is a software package that enables the computer user to define a networked heterogeneous collection of serial, parallel, and vector computers to function as one large computer. It can be used as stand-alone software or as a foundation for other heterogeneous network software. PVM may be configured to contain various machine architectures, including sequential processors, vector processors, and multicomputers, and it can be ported to new computer architectures that may emerge.



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Paperback
Book cover for 9780262571081
 
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from Mit Pr (November 8, 1994)
9780262571081 | details & prices | 8.00 × 9.00 × 0.75 in. | 1.40 lbs | List price $38.00
About: Written by the team that developed the software, this tutorial is the definitive resource for scientists, engineers, and other computer users who want to use PVM to increase the flexibility and power of their high-performance computing resources.

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