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Gentoo Cluster Project: Main Page

Content:

1.  What is the Gentoo Cluster Project?

The Gentoo Cluster Project aims to make Gentoo a desirable platform for high-performance and high-availability clustering. The project will develop documentation and support for designing and implementing clusters. This will increase Gentoo's visibility in enterprise-level computing.

Please join us in IRC on freenode.net, #gentoo-cluster.

Adelie Linux has contributed to the high-performance subproject.

Documentation
High-Performance HOWTO
Distcc HOWTO
HPC fundamentals (external)
Parallel filesystems (external)
LWN on the 2006 Linux File Systems Workshop (external)
Cluster administration (external)
Why a minimal cluster improves performance (external)
Highly available NFS with DRBD (external)
Load-balanced Apache with heartbeat (external)
Load-balanced MySQL with heartbeat (external)
MySQL clustering with NBD (external)
Grid computing in finance (external)
Xen and HPC clustering with PVM (external)

2.  Clusters using Gentoo

Medium to large clusters

This is a brief list of known clusters running Gentoo that have at least 32 cores. Please contact Donnie Berkholz if you know of one not yet on this list or have updated information for one already on this list.

  • 5832 cores in 972 6 GFlops MIPS nodes in the SiCortex SC5832
  • 512 cores in 256 Apple Xserve G5 nodes at the University of Maine
  • 296 cores in 135 mixed nodes (2.8 GHz Opteron and 2.8 GHz Xeon) at the University of Delaware's Delaware Biotechnology Institute
  • 268 cores in 134 2.8 GHz Xeon nodes at the University of Idaho
  • 256 cores in 128 Opteron nodes at Indiana University
  • 256 cores in 3.0 GHz Pentium-4 nodes at Simon Fraser University-Surrey (TechBC)
  • 216 cores in 108 mixed nodes (AMD64, Pentium-4 and Xeon), being extended to 356 cores in 178 servers by Startphone Ltd for www.hyves.nl
  • 200 cores in IBM xSeries rendering cluster at Attitude Studio
  • 160 cores in 80 Pentium-3 933 MHz nodes at SUNY-Stony Brook
  • 130 cores in mixed nodes (2.20 GHz Opteron, 3.00 GHz Dual Core Xeon, 2.66 GHz Quad Core Xeon) at Laval University in Québec City
  • 80 cores in 26 mixed nodes (1.8 GHz and up) at Kansas State University
  • 72 cores in mixed nodes (1.4 GHz and up) at the University of Edinburgh
  • 68 cores at Tufts University
  • 64 cores in 32 mixed nodes (27 1.4 GHz Athlon MP, 5 2.0 GHz Athlon MP) at the University of Edinburgh
  • 64 cores in 32 nodes (IBM eServer) at the University of Manchester
  • 54 cores in 1.2 GHz Athlon nodes at the University of Idaho
  • 40 cores in 20 Pentium-2 nodes at the University of Trollhättan/Uddevalla
  • 32 cores in 16 2.4 GHz Xeon nodes at the University of Pennsylvania Chemistry Department
  • 32 cores in mixed MIPS nodes (25 R4400 SGI Indigo2 & 7 R5000 SGI Indy) at Simon Fraser University-Surrey (TechBC)

3.  Gentoo Cluster Subprojects

Active Subprojects

The current active subprojects in the Gentoo Cluster Project are:

Project: Description:
High-Performance Computing This subproject is developing documentation for and supporting high-performance clusters.
High-Availability Clusters This subproject is developing documentation for and preparing to support high-availability clusters.

4.  Gentoo Cluster Personnel

Each person working on the Gentoo Cluster Project is listed here alphabetically. Full time indicates that their main Gentoo position is on this project, part time indicates that their main position lies in another area but they do additional work with this project.

Developer Name Username Full/Part Time Areas of Responsibilty
Donnie Berkholz dberkholz Part Lead
Justin Bronder jsbronder Full High-Performance
George Shapovalov george Part High-Performance
Christian Zoffoli xmerlin Full High-Availability
Olivier Fisette ribosome Part High-Performance
Markus Dittrich markusle Part High-Performance

5.  How Do I Participate?

To participate in the Gentoo Cluster Project, please contact Donnie Berkholz via e-mail or IRC.



Print

Updated 2 October 2003

Summary: The Gentoo Cluster Project aims to make Gentoo a desirable platform for high-performance and high-availability clustering.

Donnie Berkholz
Author

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