High Performance Linux Clusters

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:
�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.

download

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "High Performance Linux Clusters" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1379
2. High Performance Linux Clusters
3. High Performance Linux Clusters
4. OReilly.High.Performance.Linux.Clusters.
5. High Performance Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI
6. High Performance Linux Clusters With Oscar Rocks openmosix And Mpi Nov 2004
7. High Performance Linux Clusters: With OSCAR, Rocks, openMosix, and MPI (Nutshell
8. Linux Clustering: Building and Maintaining Linux Clusters
9. Linux Clustering: Building and Maintaining Linux Clusters
10. Linux Clustering: Building and Maintaining Linux Clusters
11. Linux Clustering: Building and Maintaining Linux Clusters
12. High Performance Computing in Science and Engineering ‘ 05 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2005
13. Optimizing Linux(R) Performance : A Hands-On Guide to Linux(R) Performance Tools
14. High Performance Computing in Science and Engineering ' 07: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2007
15. High Performance Computing in Science and Engineering` 05 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2005
16. High Performance Computing in Science and Engineering ' 04: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2004