239 pp. Edgewear, corners rubbed. Covers slightly curled. Provides step-by-step insctructions on how to build an affordable clustered PC computing system sith supercomputer prerformance. ; 8vo 8" - 9" tall.

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D�tails bibliographiques

Titre: How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters
�diteur: MIT Press, Cambridge, Massachusetts
Date de parution: 1999
ISBN � 10 chiffres: 026269218X
ISBN � 13 chiffres: 9780262692182
Reliure: Softcover
�dition: Second Printing.
�tat de l'article: Very Good with no dust jacket

A propos de ce titre

Synopsis

This how-to guide provides step-by-step instructions for building aBeowulf-type computer, including the physical elements that make up aclustered PC computing system, the software required (most of which isfreely available), and insights on how to organize the code to exploitparallelism.

� propos des auteurs

Donald J. Becker is Staff Scientist at the Center for Excellence in Space Data and Information Sciences.

John Salmon is Staff Scientist at the California Institute of Technology.

Daniel F. Savarese is the founder of Savarese Software Research. He founded ORO, was a senior scientist at Caltech's Center for Advanced Computing Research, and worked as vice president of software development for WebOS.

Thomas Sterling is a Professor of Computer Science at Louisiana State University, a Faculty Associate at California Institute of Technology, and a Distinguished Visiting Scientist at Oak Ridge National Laboratory.

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

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