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FIU Academic Community Workshop Date: November 21, 2005

FIU Academic Community Workshop Date: November 21, 2005. Who’s Who?. Special Advisors John McGowan, VP/CIO Yi Deng, Dean of Computing and Information Sciences External Assessments Consultant Paul Avery, Professor of Physics & PI for GriPhyN and iVDGL at UF. Investigators

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FIU Academic Community Workshop Date: November 21, 2005

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  1. FIU Academic Community Workshop Date: November 21, 2005

  2. Who’s Who? • Special Advisors • John McGowan, VP/CIO • Yi Deng, Dean of Computing and Information Sciences • External Assessments Consultant • Paul Avery, Professor of Physics & PI for GriPhyN and iVDGL at UF • Investigators • Heidi Alvarez, Principal Investigator • Julio Ibarra, Co-PI • Eric Johnson, Co-PI • Chi Zhang, Co-PI • Advisory Committee • Kelsey Downum, Associate VP of Sponsored Research • Ken Furton, Associate Dean of Arts & Sciences • Norman Munroe, Associate Director, Applied Research Center (ARC)

  3. What is CyberBridges? • Funded by the NSF Cyber Infrastructure (CI)-TEAM program solicitation http://www.nsf.gov/pubs/2005/nsf05560/nsf05560.htm • 11 Awards for ~ $250,000 each • CI-TEAM is a demonstration program now • Expected to expand to multi-year program • Will increase the effectiveness, penetration, and utilization of CI

  4. CyberBridgesBenefits • Brings together graduate students & faculty from various disciplines • Offers greater understanding of R&E CI • Increases opportunity for cross-disciplinary R&E • Increases scientists’ rate of discovery • Creates a CI empowered workforce. • Full load tuition for Spring & Summer 2006 • Research fellowship stipend • ~ $6,000 for the project

  5. Anticipated Results • A new generation of scientists & engineers • Capable of fully integrating CI into the whole educational, professional, and creative process of their diverse disciplines. • Measured in publication acceptance and conference participation

  6. Fellowship Requirements • 2 Mini Courses- Spring 2006 • Advanced Networking • Grids/Distributed Computing • 8 weeks each • Independent Study- Summer 2006 • Students and faculty will collaborate on a paper based on the research • Research results to be published & presented at a conference • Student’s travel expenses covered

  7. Fellowship Qualifications • Candidates must be on a research path that can be augmented by CI • Open to graduate students in science or engineering • PhD students preferred • Some programming background desired • C or C++ preferred, JAVA or Fortran OK

  8. Eric Johnson, Instructor, Networking Tuesdays, 17:00 – 20:00 1st 8 weeks Chi Zhang, Assistant Professor, Grid Computing Wednesdays, 17:00 – 20:00 2nd 8 weeks Special Topics in High-Performance Networking and Grid Computing Spring 2006

  9. High-Performance NetworkingSyllabus • Introduction to Ethernet physical components • Copper • Fiber • Switches • Debugging Tools • Introduction to IP networking a. Address space b. Routing c. Debugging Tools 3. Review of issues in high performance computing a. Bandwidth Delay Product b. Frame size c. Latency/Jitter • Design of cluster networks • Implement cluster networks

  10. High-Speed Networking • Critical to High-Performance Cluster/Grid Computing • 1Gbps ~ 100 Gbps • TCP/IP protocols • How to construct a high-speed network? • How to achieve the maximum throughput?

  11. High-Performance Grid-ComputingSyllabus 1. Cluster Computing • Hardware and Software Concepts • MPI 2. XML and Web Service a. XML and XML Schema b. SOAP c. WSDL and UDDI 3. Grid Computing a. Introduction b. Compute Grid and Data Grid c. Globus Toolkit d. OGSA 4. High-Performance Networking a. High-Speed TCP b. Performance Monitoring

  12. A computing environment consists of many workstations connected together by a high-speed local area network. • Divide and distribute a computing task to different workstations • Improve computation speed over that provided by a single computer Cluster Computing

  13. Grid Computing • Sharing the computing resources of many separate computers connected by a wide area network (Internet) to solve large-scale computation problems. • Resources are located in different places belonging to different institutions • Resources are heterogeneous • Using open standards to virtualize computing resources

  14. Grid Computing • Compute Grids: sharing CPU cycles of high-end computers for computationally-Intensive application. • Data Grids: controlled sharing and management of large amounts of distributed data. • Difference with cluster computing: Resources are not all within the same administrative domain. • Secure authorization to allow remote users to control computing recourses.

  15. 4 Graduate Student FellowshipsBegins Spring Semester 2006 • Students receive instruction on High-Performance Networking and Grid Computing • Required for CI enabled e-Science research • Special section offered Spring 2006 • Research inquiry and experimentation • Takes place during the Summer 2006 • Independent Study Section • Results dissemination • Collaborative research paper • Submission and presentation at a conference planned

  16. How to Apply • Submit a 1 page proposal • Describe a problem in your area of research • Provide a hypothesis on how the use of CI would benefit the research process. • Attach a one-page bio/CV • Show any networking, grid, or related CI experience • Submit all documents toinfo@cyberbridges.net • Faculty advisor must indicate support via letter of support • Due week of November 28th, 2005 • Selection announced week of December 12, 2005

  17. Grid Computing and Advanced Networking e-Science Applications Providing Tools for e-Science

  18. An International Grid Enabled Center for High Energy Physics Research & Educational Outreach at FIU An integrated program of research, network infrastructure development, and education and outreach at one of the largest minority schools in the US http://www.chepreo.org

  19. International Virtual Data Grid Laboratory (iVDGL) • Computing, storage and networking resources • Testing and validation of grid technologies • Influences future of data grids http://www.ivdgl.org/projinfo

  20. Grid Physics Network • Grid technologies for science and engineering • Used in CMS Experiment for storage • Used in QuarkNet for Education • Create Petascale Virtual Data Grids with VDT • Virtual Data Toolkit (VDT) • Grid middleware • Can be easily installed and configured http://www.griphyn.org

  21. Particle Physics Data Grid • Global Collaboration of Laboratories • Effective end-to-end capabilities • Experiment-specific applications • Grid technologies • Storage resources http://www.ppdg.net

  22. UltraLight http://ultralight.caltech.edu • Explores cutting-edge network technology • Grid computing and data infrastructure • Support for LHC-HEP and eVLBI-Astronomy • Nat’l / Int’l e-Science Collaborations

  23. UltraLight

  24. Compact Muon Solenoid (CMS) Experiment • Multi-purpose particle detection & measurement • Designed to run at highest luminosity at the LHC • CMS magnet will be largest solenoid ever built • Collaboration of 1889 physicists & engineers

  25. Large Hadron Collider (LHC) • Requires high-speed, real-time data filtering • Next-generation particle collision machine • Largest superconductor installation • Unprecedented energy range and sensitivity • Mimics early universe conditions http://lhc.web.cern.ch/lhc

  26. Gemini Observatory • Telescopes in Chile and Hawaii • Data Center in Canada • Remote observation from partner sites • Tracks deep space activity http://www.gemini.edu

  27. Biomedical Informatics Research Network (BIRN) • Test bed projects for brain imaging • Human neurological disorders • Associated animal models • Neurological Disease Studies • Function BIRN • Morphometry BIRN • Mouse BIRN http://nbirn.net

  28. BIRN Studies on Neurological Disease • Functional Imaging Research of Schizophrenia • Brain Morphometry Test Bed • Multi-Scale Mouse Models of Disease Test Bed

  29. Important Dates • Submit a 1 page proposal week of November 28th to info@cyberbridges.net • Advisory Committee Meets week of December 5th • Announcement of fellowships week of December 12th

  30. Proposal Information Summary • 1 Page • Submitted by student and faculty advisor • Faculty letter of support requested • Describe research interest • How might CI augment the research? • Is there any multidisciplinary synergy? • Include qualifications including any previous programming experience

  31. Questions? Emailinfo@cyberbridges.net Websitewww.cyberbridges.net

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