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Advanced Research Computing Resources

Advanced Research Computing Resources. Kevin Shinpaugh Director HPC Kashin@vt.edu. 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

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Advanced Research Computing Resources

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  1. Advanced Research Computing Resources Kevin Shinpaugh Director HPC Kashin@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?SGI=yes • 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. Allocation by research area for System X

  17. Research Computing Storage • Mobybits SGI 4550 NAS • 64 1.6 GHz Itanium • 64 GB Ram • 12 Gig-E connections • 2 IB --> 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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