1. Information technology, collaboration, and achieving IU ’ s research goals Craig A. Stewart stewart@iu.edu 13 November 2003 Director, Research and Academic Computing, UITS Special Assistant for the Life Sciences, OVPIT/OVPR

2. License terms Please cite as: Stewart, C.A. Information technology, collaboration, and achieving IU’s research goals. 2003. Presentation. Presented at: Indiana University Research Symposium (Indiana University, Bloomington, IN, 13 Nov 2003). Available from: http://hdl.handle.net/2022/14805http://hdl.handle.net/2022/14805 Except where otherwise noted, by inclusion of a source url or some other note, the contents of this presentation are © by the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. 2

3. Outline Next generation research & collaboration –The changing nature of the research endeavor –Information technology for collaboration –Data storage, management, and access –Cutting-edge computation Some research collaboration examples Making it matter – an effort that requires collaboration Looking ahead

4. Changes in the research endeavor Many new research projects require collaborative teams High energy physics – ATLAS will produce 1 PB/year Astronomy – SLOAN digital sky survey – 15 TB Geology – TBs/year acquisition Arts! –Digital art –VARIATIONS project http://pdg.lbl.gov/atlas/etours_exper/etours_exper01.html http://dolinsky.fa.indiana.edu/CAVE/

5. The revolution in biology http://www.ncbi.nlm.nih.gov/Genbank/genbankstats.html

6. http://www.ncbi/nlm/nih/gov

7. Information technology for collaboration IT for collaboration Networking Data storage Advanced computation

9. John-E-Box Invented by John N. Huffman, John C. Huffman, & Eric Wernert, IU

10. Videoconferencing Desktop videoconference system: $509 Polycom Cart: $4,534 Smartboard: $15,000 John-E-Box: $28,000

11. Massive Data Storage System Transparent to users Reliable and robust Free (in most cases) Based on HPSS (High Performance Software System) First HPSS installation with distributed movers; STK 9310 Silos in Bloomington and Indianapolis Automatic replication of data between Indianapolis and Bloomington, via I-light. 180 TB capacity with existing tapes; total capacity of 480 TB. 100 TB currently in use; >1 TB for biomedical data. Photo: Tyagan Miller. May be reused by IU for noncommercial purposes. To license for commercial use, contact the photographer

12. IBM Research SP (Aries/Orion Complex) 1.005 TeraFLOPS. 1st University-owned supercomputer in US to exceed 1 TFLOPS peak theoretical processing capacity. Geographically distributed at IUB and IUPUI Initially 50th, now 170th in Top 500 supercomputer list An enabler of collaborative research using very large scale computations Photo: Tyagan Miller. May be reused by IU for noncommercial purposes. To license for commercial use, contact the photographer

13. AVIDD Analysis and Visualization of Instrument-Driven Data Distributed Linux cluster. Three locations: IUN, IUPUI, IUB 2.164 TFLOPS, 0.5 TB RAM, 10 TB Disk First distributed Linux cluster to achieve more than 1 TFLOPS on Linpack benchmark – currently 50th on Top500 list Result of and enabler of collaboration

14. IU – advancing locally & globally

15. I-Light Very high speed optical fiber network –connects IUB, IUPUI, and Purdue University –multiple strands of the most modern fiber –first higher ed owned in nation Provides enough networking capacity for the next 10-20 years between the three main research campuses (IU, Purdue, IUPUI) The networking infrastructure for collaboration of many sorts

17. Some research collaboration examples

18. Collaborative sharing of data “Any research within the IU School of Medicine should be able to transparently query all relevant public external data sources and all sources internal to the IU School of Medicine to which the researcher has read privileges” Centralized Life Sciences Data Service –Based on use of IBM DiscoveryLink(TM) –BLAST is accessible via DL’s wrappers. –Implemented in partnership with IBM Life Sciences via IU-IBM strategic relationship in the life sciences –IU contributed writing of data parsers

20. The goal of the GlueX experiment is to map the spectrum of gluonic excitations using linearly polarized photons with the ultimate goal of understanding the confinement of quarks and gluons - the novel feature of QCD. A collaboration of nearly 100 researchers from 24 institutions … GlueX

21. Gamma Knife An idealized head model is used for target planning Solution: use a model of individual patient ’ s head to plan targeting UITS assisting Radiation Oncology in code development

22. fastDNAml HPC Challenge project at SC2003: Center for Genomics and Bioinformatics, UITS, HLRS (Stuttgart) Will analyze major questions in evolution of arthropods

23. Orders of magnitude of collaborations AVIDD – 20 faculty, dozens of staff, $1.8M in NSF funding Research in Indiana – 3 universities, dozens of faculty Simulation of 747 crashing into Pentagon: dozens of engineers, 1 network, 2 supercomputers IP-Grid – 2 universities, dozens of faculty, $3M in NSF INGEN – 100+ faculty, hundreds of staff, $105M funding from Lilly Endowment, Inc. GlobalNoc – dozens of staff supporting thousands of researchers worldwide

24. Making it matter – an effort that requires collaboration Improving health – Indiana Genomics Initiative Improving quality of life by improving the economy The workforce of tomorrow

25. Indiana Genomics Initiative Collaboration among IUSM, UITS, IUB basic sciences Basic research Transferable research Collaboration with central Indiana hospitals Education to build the high-tech workforce in central Indiana

26. Improving the Indiana Economy - Technology Transfer, part 1 “ We not only have a compelling responsibility, but a sacred obligation to future generations to transform the Indiana economy to make it more globally competitive ” –IU President Adam W. Herbert “ If you want your innovation to make a difference in someone ’ s life, somebody someplace has to be able to make money from it ” –F. Raymond Salemme, President and Chief Scientific Officer, 3-Dimensional Pharmaceuticals, Inc.

27. ARTI Statistics for 98-03 Slide courtesy of Mark Long, President & CEO, ARTI 989900010203 Invention Disclosures6159665781104 Received Patents 2825242935 35 Issued Start-up 1 1 0 0 2 3 Companies

28. Commercialization of John-E-Box Invention disclosure is the critical step between creation and utilization!

29. Improving the Indiana Economy - Technology Transfer, part 2 “ Open source software pays too ” Open source software is a way to get innovation into use without needing to commercialize Judicious use of licensing terms can permit subsequent commercialization

30. Collaboration pays – hardware grants Grants from: IBM Sun STK

31. Building the workforce of tomorrow The high-tech workforce of the State of Indiana should be pulled from the full richness of our society This is not the situation we enjoy today Changing the current situation will require collaboration within and outside the boarders of IU – information technology can help Examples: AVIDD at IUN, JETT, Bilingual outreach and education by IUSM Why does this matter to IU ’ s research endeavors?

32. The challenges ahead Continuing to support ‘ single-investigator ’ style research, and other creative activity, effectively Pursue large, important, innovative projects to be funded with new federal research funding. “ …we will need to pursue (grants) as a united university. That means aggregating our research expertise and working together ” –VP Michael A. McRobbie Pursue collaborations with the private sector “ The best way to predict the future is to invent it ” –Alan Kay

33. As you create the future.. “ The Research and Academic Computing Division has as its mission to provide robust production services and work with IU researchers to co-create the future ” –AVP Bradley Wheeler RAC, and UITS generally, are deeply involved in supporting the research process, do so effectively, and would like to do more! Contact us! –http://uits.iu.edu –stewart@iu.edu –bwheeler@indiana.edu

34. Acknowledgments This research was supported in part by the Indiana Genomics Initiative. The Indiana Genomics Initiative of Indiana University is supported in part by Lilly Endowment Inc. This work was supported in part by Shared University Research grants from IBM, Inc. to Indiana University. This material is based upon work supported by the National Science Foundation under Grant No. 0116050 and Grant No. CDA-9601632. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF). UITS Research and Academic Computing Division managers: Mary Papakhian, Stephen Simms, Richard Repasky, Matt Link, John Samuel, Eric Wernert, Anurag Shankar Indiana Genomics Initiative Staff: Andy Arenson, Chris Garrison, Huian Li, Jagan Lakshmipathy, David Hancock UITS Senior Management: Associate Vice President and Dean Bradley Wheeler, Associate Vice President and Dean (Retired) Christopher Peebles, RAC (Data) Director Gerry Bernbom Assistance with this presentation: John Herrin, Malinda Lingwall, W. Les Teach