Beowulf Cluster Computing with Linux / Edition 2

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Overview

Use of Beowulf clusters (collections of off-the-shelf commodity computers programmed to act in concert, resulting in supercomputer performance at a fraction of the cost) has spread far and wide in the computational science community. Many application groups are assembling and operating their own "private supercomputers" rather than relying on centralized computing centers.

Such clusters are used in climate modeling, computational biology, astrophysics, and materials science, as well as non-traditional areas such as financial modeling and entertainment. Much of this new popularity can be attributed to the growth of the open-source movement.The second edition ofBeowulf Cluster Computing with Linux has been completely updated; all three stand-alone sections have important new material. The introductory material in the first part now includes a new chapter giving an overview of the book and background on cluster-specific issues, including why and how to choose a cluster, as well as new chapters on cluster initialization systems (including ROCKS andOSCAR) and on network setup and tuning. The information on parallel programming in the second part now includes chapters on basic parallel programming and available libraries and programs for clusters. The third and largest part of the book, which describes software infrastructure and tools for managing cluster resources, has new material on cluster management and on the Scyld system.

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Product Details

  • ISBN-13: 9780262692922
  • Publisher: MIT Press
  • Publication date: 12/1/2003
  • Series: Scientific and Engineering Computation
  • Edition description: second edition
  • Edition number: 2
  • Pages: 660
  • Product dimensions: 8.00 (w) x 9.00 (h) x 1.25 (d)

Meet the Author

William Gropp is the Director of the Parallel Computing Institute and the Deputy Director forResearch at the Institute for Advanced Computing Applications and Technologies. He is also a Paul and Cynthia Saylor Professor of Computer Science at the University of Illinois Urbana-Champaign. Mr.

Gropp is the series editor for the MIT Press Scientific and Engineering Computation series.

Ewing Lusk is Senior Computer Scientist, MCS Division, both at Argonne National Laboratory.

Thomas Sterling is a Professor of Computer Science at Louisiana State University, a FacultyAssociate at California Institute of Technology, and a Distinguished Visiting Scientist at Oak RidgeNational Laboratory.

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Table of Contents

Series Foreword
Foreword
Preface to the second edition
Preface to the first edition
1 So You Want to Use a Cluster 1
2 Node Hardware 21
3 Linux 41
4 System Area Networks 77
5 Configuring and Tuning Cluster Networks 93
6 Setting Up Clusters 143
7 An Introduction to Writing Parallel Programs for Clusters 171
8 Parallel Programming with MPI 207
9 Advanced Topics in MPI Programming 245
10 Parallel Virtual Machine 279
11 Fault-Tolerant and Adaptive Programs with PVM 315
12 Numerical and Scientific Software for Clusters 335
13 Cluster Management 357
14 Cluster Workload Management 373
15 Condor: A Distributed Job Scheduler 379
16 Maui Scheduler: A High Performance Cluster Scheduler 427
17 PBS: Portable Batch System 447
18 Scyld Beowulf 471
19 Parallel I/O and the Parallel Virtual File System 493
20 A Tale of Two Clusters: Chiba City and Jazz 535
21 Conclusions 579
A: Glossary of Terms 583
B Annotated Reading List 587
C Annotated URLs 591
References 595
Index 607
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