The%20Texas%20Internet%20Grid%20for%20Research%20and%20Education%20(TIGRE) - PowerPoint PPT Presentation

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The%20Texas%20Internet%20Grid%20for%20Research%20and%20Education%20(TIGRE)

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Title: The%20Texas%20Internet%20Grid%20for%20Research%20and%20Education%20(TIGRE)


1
The Texas Internet Grid for Research and
Education (TIGRE)
  • Maytal Dahan
  • Texas Advanced Computing Center

2
Computing Across Texas
  • There are many high technology industries in
    Texas
  • AMD, IBM, Dell, Shell and countless others
  • Grid computing can be applied to a wide range of
    domains
  • Computational science and engineering
  • Microelectronics and advanced materials
    (nanotechnology)
  • Medicine, bioengineering and bioinformatics
  • Energy and environment
  • Defense and aerospace
  • State of Texas is moving forward aggressively
  • Funded Lonestar Education And Research Network
    (LEARN)
  • 7.3M for optical fiber across state (33 schools)
  • Provides the infrastructure for a Grid
  • Funded Texas Internet Grid for Research and
    Education (TIGRE)
  • 2.5M for programmers / sysadmins / etc. (5
    schools)
  • Provides the manpower to construct a Grid

3
HiPCAT
  • High Performance Computing Across Texas
  • Consortium of Texas higher education institutions
  • Founded by 5 members
  • Currently 9 members
  • Growing slowly over time
  • Share knowledge and high performance computing
    resources
  • Quarterly in person meetings
  • Provides a forum for the institutions to share
    expertise and experience with deploying,
    supporting and using advanced computing
    resources.
  • TIGRE (and LEARN) came out of this consortium

4
LEARN
  • Lonestar Education And Research Network
  • Mission
  • Collaboration of Texas higher education
    institutions that supports
  • research,
  • education,
  • health care,
  • and public service missions
  • Through the innovative development, operation,
    and utilization of advanced
  • statewide networking, access to global resources,
    and related services.
  • The purpose is to create a network for these
    institutions to use that provides higher
    bandwidth, lower costs, and connectivity to
    national high bandwidth networks.
  • 33 LEARN Higher Education members (Med Schools,
    Universities, etc)

5
TIGRE
  • TIGRE is a subset of LEARN members with the goal
    to integrate all LEARN members
  • Mission Integrate resources of Texas
    institutions to enhance research and educational
    capabilities
  • Foster academic, private, and government
    partnerships

6
TIGRE Approach
  • Construct a grid across 5 funded sites
  • Rice University
  • Texas AM University
  • Texas Tech University
  • University of Houston
  • University of Texas at Austin
  • To support a set of applications important to
    Texas
  • Package the grid
  • Software
  • Documentation
  • Procedures
  • Organizational structure
  • Leverage everything thats already out there!
  • To easily bring other LEARN members into TIGRE

7
TIGRE Organization
  • Steering Committee
  • 1 participant from each of the 5 partners
  • Decisions by consensus
  • Select application areas and applications
  • High-level guidance
  • Development group
  • Technical group constructing TIGRE
  • Several members from each site
  • Break work up in to activities
  • Decisions by consensus
  • 8 people now, will grow to 15 relatively quickly

8
TIGRE Activities
  • Planning
  • Project management document
  • Requirements document
  • Architecture document
  • Initial design document
  • Authentication and Authorization
  • Setting up a CA (including policies) for TIGRE
  • Experimenting with a VOMS server
  • Assembling a software stack
  • Start small, add by consensus
  • Pulling components from the Virtual Data Toolkit
  • Globus Toolkit 4.0, pre-Web Services and Web
    Services
  • GSI OpenSSH
  • UberFTP
  • Condor-G
  • VDT providing 64-bit versions for us

9
TIGRE Resources
  • Currently deciding amount of allocations
  • Available from TIGRE institutions
  • Lonestar (UT Austin) 1024 Xeons Myrinet GigE
  • Hrothgar (Texas Tech) 256 Xeons Infiniband
    GigE
  • Cosmos (Texas AM) 128 Itaniums Numalink
  • Rice Terascale Cluster 128 Itaniums GigE
  • Atlantis (Houston) 124 Itaniums GigE SCI
  • plus several smaller systems
  • Will incorporate other institutions as
    appropriate to applications

10
TIGRE Status
  • Official start date December 1, 2005
  • Started preparations over summer while contracts
    being signed
  • Regular teleconferences
  • Developer group
  • Steering group
  • Infrastructure coming together
  • Created a test bed while we are doing long-term
    planning
  • Demos at SC05
  • Software stack associated policies in progress
  • Locating selecting initial driving applications

11
TIGRE Timeline
today
Q1
Q3
Q4
Q2
Y1
  • Project plan
  • Web site
  • Certificate Authority
  • Test bed requirements
  • Driving applications

Web portal
  • Software stack
  • Distribution Mechanism
  • Demonstrate TIGRE app

Client software package
Q1
Q2
Q3
Q4
Y2
User support system
Global scheduler
  • Software feature freeze
  • TIGRE service requirements
  • Final software
  • Final documentation
  • Procedures and policies to join TIGRE
  • Demonstrate at SC

12
TIGRE Applications
  • Developing in three areas
  • Biology / medicine
  • Rice, Houston collaborating with Baylor College
    of Medicine
  • UT Austin working with UT Southwestern Medical
    Center
  • Atmospheric science / air quality
  • Research interest and expertise at Texas AM,
    Rice, Houston
  • WRF and WRF-CHEM under evaluation
  • Energy
  • Very preliminary discussions about seismic
    processing, reservoir simulation
  • Looking for industrial partners
  • Grid-ready applications
  • EMAN - 3D reconstruction from electron microscopy
  • ENDYNE - quantum chemistry
  • ALICE - high-energy physics

13
UltraScan - TIGRE Application
  • UT Health Science Center San Antonio
  • Composition analysis
  • Analyzes centrifuge data
  • Data is the wavelengths of light scattered from
    different locations
  • Samples taken in many locations over time
  • Derive composition from this data
  • Questions to answer
  • How many components?
  • What are their molecular weights?
  • What are their shapes?
  • Are there any interactions between components?
  • Solve by performing optimizations
  • One way is a genetic algorithm search
  • 128 nodes on site not always sufficient for
    current needs

14
UltraScan TIGRE
  • Use TIGRE resources
  • When insufficient local resources to keep up with
    centrifuge output
  • To perform more thorough analyses
  • Provide resources to TIGRE
  • When less centrifuge data to analyze

15
OSG Interactions
  • TIGRE member organizations are part of OSG
  • TACC
  • Texas Tech University
  • TIGRE systems are part of OSG
  • Lonestar at TACC
  • And part of TeraGrid!
  • We need these grids to have compatible software
  • Leveraging Virtual Data Toolkit
  • Learning from watching OSG
  • Organization
  • Operation
  • Functionality

16
LEARN Topology
17
LEARN Backbone
18
For More Information
  • HiPCAT
  • http//www.hipcat.net
  • TIGRE
  • http//www.hipcat.net/Projects/tigre
  • Contact
  • Warren Smith
  • wsmith_at_tacc.utexas.edu
  • Maytal Dahan
  • maytal_at_tacc.utexas.edu
  • THANK YOU!
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