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High Performance Linux Clusters: With OSCAR, Rocks, openMosix, and MPI (Nutshell Handbooks) by Joseph D Sloan
Publisher: O'Reilly Media; 1 edition (November 18, 2004) | ISBN-10: 0596005709 | CHM | 1,7 Mb | 350 pages




کد:
http://www.ftp2share.com/file/21130/And.Mpi.Nov.2004.eBook-DDU.chm.html
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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 hours--or even weeks--of 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.