PVM: Parallel Virtual Machine

PVM: Parallel Virtual Machine

Describes the Parallel Virtual Machine (PVM) system and how to develop programs using PVM. Provides a fast entrance to the world of heterogeneous network computing.

Publication date: 31 Dec 1994

ISBN-10: n/a

ISBN-13: n/a

Paperback: n/a

Views: 16,173

Type: N/A

Publisher: The MIT Press

License: n/a

Post time: 06 Mar 2007 08:58:21

PVM: Parallel Virtual Machine

PVM: Parallel Virtual Machine Describes the Parallel Virtual Machine (PVM) system and how to develop programs using PVM. Provides a fast entrance to the world of heterogeneous network computing.
Tag(s): Parallel Computing
Publication date: 31 Dec 1994
ISBN-10: n/a
ISBN-13: n/a
Paperback: n/a
Views: 16,173
Document Type: N/A
Publisher: The MIT Press
License: n/a
Post time: 06 Mar 2007 08:58:21
From the Preface:

In this book we describe the Parallel Virtual Machine (PVM) system and how to develop programs using PVM. PVM is a software system that permits a heterogeneous collection of Unix computers networked together to be viewed by a user's program as a single parallel computer. PVM is the mainstay of the Heterogeneous Network Computing research project, a collaborative venture between Oak Ridge National Laboratory, the University of Tennessee, Emory University, and Carnegie Mellon University.

The PVM system has evolved in the past several years into a viable technology for distributed and parallel processing in a variety of disciplines. PVM supports a straightforward but functionally complete message-passing model.

PVM is designed to link computing resources and provide users with a parallel platform for running their computer applications, irrespective of the number of different computers they use and where the computers are located. When PVM is correctly installed, it is capable of harnessing the combined resources of typically heterogeneous networked computing platforms to deliver high levels of performance and functionality.

In this book, we describe the architecture of the PVM system and discuss its computing model; the programming interface it supports; auxiliary facilities for process groups; the use of PVM on highly parallel systems such as the Intel Paragon, Cray T3D, and Thinking Machines CM-5; and some of the internal implementation techniques employed. Performance issues, dealing primarily with communication overheads, are analyzed, and recent findings as well as enhancements are presented. To demonstrate the viability of PVM for large-scale scientific supercomputing, we also provide some example programs.

This book is not a textbook; rather, it is meant to provide a fast entrance to the world of heterogeneous network computing. We intend this book to be used by two groups of readers: students and researchers working with networks of computers. As such, we hope this book can serve both as a reference and as a supplement to a teaching text on aspects of network computing.
 




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Adam Beguelin

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Jack Dongarra

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Al Geist

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Weicheng Jiang

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Robert Manchek

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Vaidy Sunderam

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