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High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI

High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI
  • #: 240925
  • Price: $6.99 In Apple Store
  • Category: Books
  • Updated: 2009-10-16
  • Current Version: 1.0
  • 1.0
  • Size: 7.00 MB
  • Language: English
  • Seller: O'Reilly Media, Inc
  • Requirements: Compatible with iPhone, iPod touch, and iPad. Requires iOS 2.0 or later
  • © O'Reilly Media, Inc.
  •  Add to Favorite apps

 

Description

By Joseph D Sloan

Published by O'Reilly Media (http://oreilly.com/catalog/9780596005702/)

To the outside world, a "supercomputer" appears to be a single system. In fact, it's a cluster of computers that share a local area network and have the ability to work together on a single problem as a team. Many businesses used to consider supercomputing beyond the reach of their budgets, but new Linux applications have made high-performance clusters more affordable than ever. These days, the promise of low-cost supercomputing is one of the main reasons many businesses choose Linux over other operating systems.

This new guide covers everything a newcomer to clustering will need to plan, build, and deploy a high-performance Linux cluster. The book focuses on clustering for high-performance computation, although much of its information also applies to clustering for high-availability (failover and disaster recovery). The book discusses the key tools you'll need to get started, including good practices to use while exploring the tools and growing a system. You'll learn about planning, hardware choices, bulk installation of Linux on multiple systems, and other basic considerations. Then, you'll learn about software options that can save you hoursor even weeksof deployment time.

Since a wide variety of options exist in each area of clustering software, the author discusses the pros and cons of the major free software projects and chooses those that are most likely to be helpful to new cluster administrators and programmers. A few of the projects introduced in the book include:

* MPI, the most popular programming library for clusters. This book offers simple but realistic introductory examples along with some pointers for advanced use.

* OSCAR and Rocks, two comprehensive installation and administrative systems

* openMosix (a convenient tool for distributing jobs), Linux kernel extensions that migrate processes transparently for load balancing

* PVFS, one of the parallel filesystems that make clustering I/O easier

* C3, a set of commands for administering multiple systems

Ganglia, OpenPBS, and cloning tools (Kickstart, SIS and G4U) are also covered. The book looks at cluster installation packages (OSCAR & Rocks) and then considers the core packages individually for greater depth or for folks wishing to do a custom installation. Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.

Superb Reading Features

Through a partnership between O'Reilly Media and Lexcycle, this app includes the same features that have made Stanza an iPhone phenomenon with over a million downloads:

* Full book text search

* Several fonts and themes to choose from

* Built-in dictionary

* The ability to add annotations

* Landscape view

* Extensive cross-referencing and working hyperlinks

* Zoom function for images and screenshots

About O'Reilly Media

O'Reilly Media spreads the knowledge of innovators through its books, online services, magazines, research, and conferences. Whether it's delivered in print, online, or in person, everything O'Reilly produces reflects the company's unshakeable belief in the power of information to spur innovation. Learn more about Ebooks from O'Reilly at oreilly.com/ebooks.

About Lexcycle

Lexcycle is the creator of Stanza Bookbinder which was used to create this standalone book application. Stanza Bookbinder is based on the popular iPhone Ebook reading application, Stanza. For more information about Stanza, visit www.lexcycle.com.

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The information may be outdated (2011-05-01 17:32:20). For actual information go to iTunes

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