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How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters (Scientific and Engineering Computation) - Softcover
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.
"synopsis" may belong to another edition of this title.
About the Authors
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.
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How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters
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How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters (Scientific and Engineering Computation)
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How to Build a Beowulf - A Guide to the Implementation & Application of PC Clusters
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How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters
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MIT Press, Cambridge, Massachusetts, 1999
ISBN 10: 026269218X
ISBN 13: 9780262692182
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Softcover. Condition: Very Good with no dust jacket. Second Printing. 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. Seller Inventory # COMP0090
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How to Build a Beowulf: A Guide to the Implementation and Application of PC Clusters
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Paperback. Condition: Brand New. 250 pages. 9.25x8.25x0.75 inches. In Stock. Seller Inventory # zk026269218X
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