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 comprehensiveinstallation 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.
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