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SDSC UCSD NPACI Rocks Cluster Distribution

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Automate software consistency ... Used to enforce software consistency. 6/2003. 2. SDSC / UCSD. NPACI Rocks Cluster Distribution ... – PowerPoint PPT presentation

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Title: SDSC UCSD NPACI Rocks Cluster Distribution


1
SDSC / UCSDNPACI Rocks Cluster Distribution
  • Overview/Problem Definition
  • Make commodity Linux clusters easy
  • Enable application scientists to build their own
    computational resources
  • Automate common system administration tasks
  • A single part-time administrator should be able
    to run a Top500 resource
  • Non-cluster experts should be able to build a
    cluster in a couple of hours
  • Promote cluster experimentation
  • Automate software consistency
  • Support Heterogeneous hardware, cannot assume
    clusters are homogenous
  • Technical Approach
  • Cluster on a CD (DVD for Itanium2)
  • Downloadable ISO (based on RedHat Linux)
  • ftp//ftp.rocksclusters.org/pub/rocks/rocks-2.3.2/
    ia64/rocks.iso
  • Supports IA64 and x86
  • Includes standard clustering software stack (PBS,
    Maui, Ganglia, etc)
  • Can build a 128 node cluster in four hours
  • Description based software installation
  • Used to rapidly deploy heterogeneous clusters
  • Used to enforce software consistency

2
SDSC / UCSDNPACI Rocks Cluster Distribution
  • Results
  • NPACI Rocks cluster registry
  • http//www.rocksclusters.org/rocks-register
  • Over 17 TFlops of peak computing enabled using
    Rocks
  • Over 100 clusters world wide build with Rocks
  • Largest known cluster is 604 CPUs (Standford
    University Bio-X)
  • Rocks is a core software component for 4 large
    NSF ITR awards
  • 233 on Nov 2002 Top500 list is a Rocks cluster
  • Supports IA64 and x86
  • Identical clustering software code base
  • Both platforms are released concurrently
  • Current Status/Looking Ahead
  • Rocks is open source (active non-NPACI
    development)
  • Always adding new users and clusters
  • Exploring other Linux distributions (and
    non-Linux OSes)
  • Exploring non-clustered applications
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