High Performance Linux Clusters. With OSCAR, Rocks, OpenMosix, and MPI
Par :Formats :
Définitivement indisponible
Cet article ne peut plus être commandé sur notre site (ouvrage épuisé ou plus commercialisé). Il se peut néanmoins que l'éditeur imprime une nouvelle édition de cet ouvrage à l'avenir. Nous vous invitons donc à revenir périodiquement sur notre site.
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format Multi-format est :
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages368
- FormatMulti-format
- ISBN0-596-10433-2
- EAN9780596104337
- Date de parution16/11/2004
- Protection num.NC
- Infos supplémentairesMulti-format incluant PDF sans p...
- ÉditeurO'Reilly
Résumé
This book focuses on clustering for high-performance computation, although much of its information applies also to clustering for high-availability (failover and disaster recovery). It is an introductory book that gives the reader a solid foundation for clustering. The key tools necessary to get started are discussed, including good practices to use while exploring the tools and growing a system. The book starts with planning, hardware choices, bulk installation of Linux on multiple systems, and other basic considerations.
It then discusses software that can save 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 the ones most likely to be helpful to new cluster administrators and programmers. 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 transparently migrate processus 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 and Rocks), and then considers the core packages individually in greater depth, for those wishing to do a custom installation Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.
It then discusses software that can save 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 the ones most likely to be helpful to new cluster administrators and programmers. 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 transparently migrate processus 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 and Rocks), and then considers the core packages individually in greater depth, for those wishing to do a custom installation Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.
This book focuses on clustering for high-performance computation, although much of its information applies also to clustering for high-availability (failover and disaster recovery). It is an introductory book that gives the reader a solid foundation for clustering. The key tools necessary to get started are discussed, including good practices to use while exploring the tools and growing a system. The book starts with planning, hardware choices, bulk installation of Linux on multiple systems, and other basic considerations.
It then discusses software that can save 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 the ones most likely to be helpful to new cluster administrators and programmers. 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 transparently migrate processus 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 and Rocks), and then considers the core packages individually in greater depth, for those wishing to do a custom installation Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.
It then discusses software that can save 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 the ones most likely to be helpful to new cluster administrators and programmers. 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 transparently migrate processus 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 and Rocks), and then considers the core packages individually in greater depth, for those wishing to do a custom installation Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.