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Advanced Research Computing Resources

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Title: Advanced Research Computing Resources


1
Advanced Research Computing Resources
  • Kevin Shinpaugh
  • Director HPC
  • Kashin_at_vt.edu

2
Advanced Research Computing
  • ARC is Unit within the Office of the Vice
    President of Information Technology
  • Provide central Research Computing/High
    Performance Computing resources
  • Staff to assist users
  • Web Pagehttp//www.arc.vt.edu/

3
Staff
  • Computational Scientist
  • System Administrators (2)
  • GRAs (3)
  • User advocate, 3rd party software
  • Programmers (1)

4
Computational Resources
  • Athena Data Analytic Cluster (GPUs) - NEW
  • Ithaca IBM iDataPlex
  • System X
  • SGI Altix machines (3)
  • Sun v480 / v 490
  • Other Resources Managed by ARC
  • Hess 96 Node Dell Cluster 768 cores
  • Tempest/Teapot 2 SGI Altix 64 CPU/52 GB
  • Pecos SGI Altix ICE 768 cores

5
Athena Data Analytics Cluster
  • James River Technical / Appro
  • 42 nodes quad-socket 8-core AMD Magny Cours
  • 32 nVidia Fermi GPUs
  • 2688 GB Memory 2 GB/core 64 GB per node
  • Quad-data-rate InfiniBand
  • Key Applications
  • Visualization
  • Data intensive applications

6
Ithaca
  • IBM iDataPlex
  • 84 nodes dual-socket quad-core Nehalem 2.26 GHz
  • 66 available for your use
  • 2 TB Memory 3 GB/core 24 GB per node
  • 10 nodes have 48 GB
  • Quad-data-rate InfiniBand
  • Key Applications
  • Parallel Matlab 64 workers, soon 96
  • ISV apps needing x86/Linux environment
  • Note System purchased by IT

7
System X
  • 1100 dual-socket single-core 2.3 GHz G5 Apple
    Xservers
  • 2 TB Memory 2 GB/core 4 GB per node
  • Single-data-rate (SDR) InfiniBand
  • Currently running OS X 10.3 and YellowDog Linux
  • Ranked number 7 at 12.25 TF (Nov. 2004)
    www.top500.org
  • Key Applications

8
System X Access
  • There is no charge for using these systems
  • Application process web-based proposal
    submission
  • http//www.arc.vt.edu/arc/UserAccounts.php
  • Based on Scientific Merit
  • Three allocation levels
  • Introductory - 10,000 cpu-hrs
  • Intermediate - 10,000 - 100,000 cpu-hrs
  • Advanced - 100,000 cpu-hrs

9
Inferno
  • SGI ALTIX 3700
  • 20 - 1.3 GHz Itanium processors
  • each with 3 MB of cache
  • 24 GB of memory
  • 36 GB of internal disk storage
  • 1.2 TB of Raid for /tmp
  • Note Thanks to Yuriko Renardy for an additional
    4 CPUs

10
Inferno2
  • SGI ALTIX 3700 BX2 Supercluster
  • 128 - 1.6 GHz Itanium processors
  • each with 6 MB of cache
  • 512 GB of memory
  • 146 GB of internal disk storage
  • 3 TB of RAID disk storage for tmp
  • Note System purchased by contributions from the
    Research Division, IT and College of Science
    (Mathematics, Geosciences, Chemistry and PIs)

11
Cauldron
  • SGI ALTIX 4700 Supercluster
  • 64 - 1.5 GHz Itanium processors
  • each with 4 MB of cache
  • 320 GB of memory
  • 1 TB of Raid for /scratch
  • Note System purchased by contributions from the
    Research Division, IT and College of Science
    (Mathematics, Geosciences, Chemistry and PIs)

12
SGI Software
  • Intel Fortran and C Compilers
  • Gaussian 03
  • ABAQUS
  • Mathematica
  • GASP

13
Dante / Styx
  • Sun Fire V480 Server
  • Solaris 9
  • Four 900 MHz CPUs
  • 16 GB memory
  • Two 36 GB fiber-channel drives

14
Dante/Styx Software
  • Sun ONE Studio Fortran and C Compilers
  • IMSL Math STAT Libraries
  • SAS System Version 8
  • MATLAB
  • GAUSS

15
SGI/Other System Access
  • There is no charge for using these systems
  • Application process web-based proposal
    submission
  • http//www.arc.vt.edu/arc/sgi/accounts.php?SGIyes
  • As part of your application request you will be
    asked for your name, PID, department, address,
    phone number, system resource requirements, and
    for an abstract describing the research for which
    SGI systems will be used.

16
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17
Research Computing Storage
  • Mobybits SGI 4550 NAS
  • 64 1.6 GHz Itanium
  • 64 GB Ram
  • 12 Gig-E connections
  • 2 IB --gt System X
  • NFS
  • 80 TB FC disk

18
Other Services
  • Cluster Colocation
  • Cluster management
  • Booth at SuperComputing Conference
  • November 13-19, New Orleans
  • VT HPC Bootcamp
  • Eight day intensive training session covering
    parallel programming and visualization
  • Jointly taught by UVa and VT CS faculty and IT
    Research Computing staff
  • Morning lectures, afternoon lab sessions

19
Upcoming Events
  • SuperComputing Conference Nov 13-19
  • Showcase VT computational research
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