Beowulf Cluster Computing with Windows

Thomas L. Sterling

478 pages, parution le 26/09/2002

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Résumé

Beowulf clusters, which exploit mass-market PC hardware and software in conjunction with cost-effective commercial network technology, are becoming the platform for many scientific, engineering, and commercial applications. With growing popularity has come growing complexity. Addressing that complexity, Beowulf Cluster Computing with Linux and Beowulf Cluster Computing with Windows provide system users and administrators with the tools they need to run the most advanced Beowulf clusters. The book is appearing in both Linux and Windows versions in order to reach the entire PC cluster community, which is divided into two distinct camps according to the node operating system. Each book consists of three stand-alone parts. The first provides an introduction to the underlying hardware technology, assembly, and configuration. The second part offers a detailed presentation of the major parallel programming librairies. The third, and largest, part describes software infrastructures and tools for managing cluster resources. This includes some of the most popular of the software packages available for distributed task scheduling, as well as tools for monitoring and administering system resources and user accounts. Approximately 75% of the material in the two books is shared, with the other 25% pertaining to the specific operating system. Most of the chapters include text specific to the operating system. The Linux volume includes a discussion of parallel file systems.

Contents

1. Introduction

I Enabling Technologies

2 An Overview of Cluster Computing
3 Node Hardware
4 Windows 2000
5 Network Hardware
6 Windows 2000 Networking
7 Setting Up Clusters: Installation and Configuration
8 How Fast Is My Beowulf?

II. Parallel Programming

9 Parallel Programming with MPI
10 Advanced Topics in MPI Programming
11 Parallel Programming with PVM
12 Fault-Tolerant and Adaptive Programs with PVM

III. Managing Clusters

13 Cluster Workload Management
14 Condor: A Distributed Job Scheduler
15 Maui Scheduler: A Multifunction Cluster Scheduler
16 PBS: Portable Batch System
17 MPI Software Technology, Inc., Cluster CoNTroller
18 Cornell Theory Center
19 Conclusions
A: Glossary of Terms
B: Annotated Reading List
C: Annotated URLs

L'auteur - Thomas L. Sterling

Thomas Sterling, PHD, is a professor at Caltech and its Jet Propulsion Laboratory. His research interests include parallel computing architecture, cluster computing, petaflop computing, and systems software and evaluation.

Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Thomas L. Sterling
Parution	26/09/2002
Nb. de pages	478
Format	20,5 x 23
Couverture	Broché
Poids	885g
Intérieur	Noir et Blanc
EAN13	9780262692755
ISBN13	978-0-262-69275-5