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Product Description
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:
About the Author
Joseph D. Sloan has been working with computers since the mid-1970s. He began using Unix as a graduate student in 1981, first as an applications programmer and later as a system programmer and system administrator. Since 1988 he has taught computer science, first at Lander University and more recently at Wofford College where he can be found using the software described in this book.
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
About the Author
Joseph D. Sloan has been working with computers since the mid-1970s. He began using Unix as a graduate student in 1981, first as an applications programmer and later as a system programmer and system administrator. Since 1988 he has taught computer science, first at Lander University and more recently at Wofford College where he can be found using the software described in this book.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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automating installations, parallel filesystems, debugging parallel programs, cluster architecture, configuring services, building file list, adjust problem size, oscar cluster, cluster kits, int processld, golden client, diskless systems, rsync daemon, clog files, default communicator, precompiled kernel, compute nodes, head node, new communicator, unused sectors, metadata server, default kernel, cluster software, clustering software, dedicated cluster Key Phrases - Capitalized Phrases (CAPs): (learn more)
Red Hat, Window System, Amdahl's Law, Getting Started, Profiling Parallel Programs, Cloning Systems, Rocks Users, Designing Parallel Programs, Indiana University, Installing Rocks, Programming Software, Management Software, Rocks Base, Administrator Guide, Other Considerations, Design Decisions, Cluster Top, Tip of the Day, Environment Switcher, Oak Ridge National Laboratory, Packaging Data, Open Systems Lab, Message Passing Interface, Argonne National Laboratory, Mapping Tasks Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
automating installations, parallel filesystems, debugging parallel programs, cluster architecture, configuring services, building file list, adjust problem size, oscar cluster, cluster kits, int processld, golden client, diskless systems, rsync daemon, clog files, default communicator, precompiled kernel, compute nodes, head node, new communicator, unused sectors, metadata server, default kernel, cluster software, clustering software, dedicated cluster Key Phrases - Capitalized Phrases (CAPs): (learn more)
Red Hat, Window System, Amdahl's Law, Getting Started, Profiling Parallel Programs, Cloning Systems, Rocks Users, Designing Parallel Programs, Indiana University, Installing Rocks, Programming Software, Management Software, Rocks Base, Administrator Guide, Other Considerations, Design Decisions, Cluster Top, Tip of the Day, Environment Switcher, Oak Ridge National Laboratory, Packaging Data, Open Systems Lab, Message Passing Interface, Argonne National Laboratory, Mapping Tasks Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
What Do Customers Ultimately Buy After Viewing This Item?
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49% buy the item featured on this page: High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI (Nutshell Handbooks) $29.16 |
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25% buy Building Clustered Linux Systems (HP Professional Series) $34.64 |
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11% buy Linux Clustering: Building and Maintaining Linux Clusters (Landmark) $28.63 |
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8% buy Linux Enterprise Cluster: Build a Highly Available Cluster with Commodity Hardware and Free Software |
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