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Beowulf
History of Beowulf development, network drivers, software, documentation, papers, and links to other resources and cluster sites.
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Beowulf.org is a collection of resources for the expanding universe of users and designers of Beowulf class cluster computers. These enterprise systems are built on commodity hardware deploying Linux OS and open source software.
Beowulf Bash: The 11th Annual Beowulf.org Meeting
Combustion Research
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How to make a cluster from Apple computers. Papers, benchmarks, and software for distributing jobs across a cluster.
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Personal Parallel Computing
Plug and Play Parallel Processing
for constructing a Macintosh cluster
Recommended software (what we use to keep 'em running):
"Most innovative commercial
assists in starting MacMPI_IP and MacMPI_X parallel executables
A fun way to test your system:
graphics
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A network topology designed to minimize latency in clusters of PCs.
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FNN: Flat Neighborhood Networks
Welcome to the home of FNN documents and software! Since the
press releases on our clusters
, which have Flat Neighborhood Networks,
many of you have been asking us for more information, access to the
GA (genetic search algorithm) we developed to design FNNs,
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Patches to NFS to permit diskless clients to mount a root filesystem. Source code and documentation.
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We're Sorry but this Project hasn't yet uploaded their personal webpage yet.
Please check back soon for updates or visit
All trademarks and copyrights on this page are properties of their respective owners. Forum comments are owned by the poster. The rest is copyright ©1999-2000 VA Linux Systems,
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A bundle of software for making Linux clusters. Source code, hardware notes, and documentation.
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OSCAR is a snapshot of the
best known methods for building, programming, and using clusters. It consists
of a fully integrated and easy to install software bundle designed for
high performance cluster computing. Everything needed to
install, build, maintain, and use a modest sized Linux
cluster
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Mailing list for Beowulf discussion.
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The Beowulf Archives Many of your questions may have already been
answered in earlier discussions or in the
search results page will indicate current discussions as
well as past list serves, articles, and papers.
Copyright © 2004 Beowulf.org. All Rights Reserved.
Beowulf.org is a
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Documentation and installation scripts to make a Linux cluster of thin clients in an educational environment.
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The Linux Terminal Server Project adds thin-client support to Linux servers.
LTSP is a flexible, cost effective solution that is
empowering schools, businesses, and organizations all over the
world to easily install and deploy desktop workstations. A growing number of
Linux distributions include
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Automated system for installing Debian on PC clusters. Documentation and source available.
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Fully Automatic Installation (FAI)
FAI - Fully Automatic Installation
FAI is an automated installation tool to install or deploy Debian GNU/Linux
and other distributions on a bunch of different hosts or a Cluster. It's more flexible
than other tools like kickstart for Red Hat, autoyast and alice for
SuSE or Jumpstart for SUN
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A set of interoperable opensource tools that enable users to build and use Beowulf cluster effectively to solve their problems. It consist of a cluster builder tool, complex system management tool (SCMS), scalable real-time monitoring, Web base monitoring software (KCAP), parallel Unix command, and batch scheduler.
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Get Scalable Cluster Environment at SourceForge.net. Fast, secure and free downloads from the largest Open Source applications and software directory. Scalable Cluster Environment (SCE) is a set of interoperable opensource tools that enable users to build and use Beowulf cluster effectively to solve their problems.
Scalable Cluster Environment (SCE) is a set of interoperable opensource tools that enable users to build and use Beowulf cluster effectively to solve their problems.
Registered : 2001-06-15 01:22
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Discussion of Linux clusters, SMP, and links to Beowulf sites.
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Parallel Processing using
Homepage of the Parallel Processing HOWTO ;
Last site update: April 28, 1999
Parallel Processing refers to the concept of speeding-up the
execution of a program by dividing the program into multiple fragments
that can execute simultaneously, each on its own processor.
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