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Thomas Danford, CIO          James Perry, Interim CIO
Tennessee Board of Regents   University of Tennessee System
 Thomas.Danford@tbr.edu          jperry1@tennessee.edu
Connectivity enables access to computational power
Access to computational power enables new types of
research to more universities
Communication ties it together and exposes
opportunities
Historical (2005)
 TNII -> OneTenn -> NetTN
Chicago, IL




Starkville, MS
                               Atlanta, GA
Chicago, IL




Starkville, MS
                               Atlanta, GA
Large-scale computational facilities
• Oak Ridge Leadership Computing Facility (OLCF)
    • DOE Cray XT Jaguar Supercomputer
• UT/ORNL Joint Institute for Computational Science (JICS)
    • NSF Funded National Institute for Computation Sciences (NICS)
       • UT Cray XT5 Kraken Supercomputer
       • UT SGI Altix UV 1000 Nautilus Visualization
       • Georgia Tech HP Keeneland Cluster




 Shared cluster-scale facilities:
 • FedEx Institute of Technology at University of Memphis
 • Advanced Computing Center for Research and Education at Vanderbilt University
 • Newton & Spanier clusters at University of Tennessee at Knoxville
 • SIM Center at UT Chattanooga
State of Tennessee’s New Tier 4 Data Center
Engendering an atmosphere of mentoring and
research incubation where strengths can be
matched to create effective research pairs
Moving from a fragmented view of research to
a holistic view of research partnerships and
their integration across the state
Connecting research needs with resources and
tools to create tasks that were not possible a
few short years ago
SC-TN Desktop to TeraGrid


                                                 Support through HPC
                                                 training and facilities
                                                 access




                                                 Support to connect with
                                                 TN-SCORE Thrust 1

3 yr NSF Grant to Support
Bioinformatics Concentration
NSF EPS - 1004083




1.) Inter-institutional collaboration and
innovation capacity

2.) Effective utilization of the computational
infrastructure within the state
Connecting Tennessee's Research Through Computational Power

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Connecting Tennessee's Research Through Computational Power

  • 1. Thomas Danford, CIO James Perry, Interim CIO Tennessee Board of Regents University of Tennessee System Thomas.Danford@tbr.edu jperry1@tennessee.edu
  • 2.
  • 3. Connectivity enables access to computational power Access to computational power enables new types of research to more universities Communication ties it together and exposes opportunities
  • 4. Historical (2005) TNII -> OneTenn -> NetTN
  • 5.
  • 6.
  • 9. Large-scale computational facilities • Oak Ridge Leadership Computing Facility (OLCF) • DOE Cray XT Jaguar Supercomputer • UT/ORNL Joint Institute for Computational Science (JICS) • NSF Funded National Institute for Computation Sciences (NICS) • UT Cray XT5 Kraken Supercomputer • UT SGI Altix UV 1000 Nautilus Visualization • Georgia Tech HP Keeneland Cluster Shared cluster-scale facilities: • FedEx Institute of Technology at University of Memphis • Advanced Computing Center for Research and Education at Vanderbilt University • Newton & Spanier clusters at University of Tennessee at Knoxville • SIM Center at UT Chattanooga
  • 10. State of Tennessee’s New Tier 4 Data Center
  • 11. Engendering an atmosphere of mentoring and research incubation where strengths can be matched to create effective research pairs Moving from a fragmented view of research to a holistic view of research partnerships and their integration across the state Connecting research needs with resources and tools to create tasks that were not possible a few short years ago
  • 12.
  • 13.
  • 14. SC-TN Desktop to TeraGrid Support through HPC training and facilities access Support to connect with TN-SCORE Thrust 1 3 yr NSF Grant to Support Bioinformatics Concentration
  • 15. NSF EPS - 1004083 1.) Inter-institutional collaboration and innovation capacity 2.) Effective utilization of the computational infrastructure within the state

Notas do Editor

  1. Add click to advance