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Extending the Internet Throughout the Physical World Keynote to The EC-US Taskforce on Biotechnology Research Arlington, VA Sept 9, 2001 Larry Smarr Department.

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Presentation on theme: "Extending the Internet Throughout the Physical World Keynote to The EC-US Taskforce on Biotechnology Research Arlington, VA Sept 9, 2001 Larry Smarr Department."— Presentation transcript:

1 Extending the Internet Throughout the Physical World Keynote to The EC-US Taskforce on Biotechnology Research Arlington, VA Sept 9, 2001 Larry Smarr Department of Computer Science and Engineering Jacobs School of Engineering, UCSD Director, California Institute for Telecommunications and Information Technology

2 Towards a Global Biological Knowledge Grid Capture and Integrate Multiple Scales of Science –Genomes, Proteins, Metabolic Pathways –Cellular Systems –Organism Models –Ecological Systems –Geographic Biodiversity –Environmental Interactions Adapting to the Emerging Information Infrastructure –Wireless Access--Anywhere, Anytime –Distributed Sensors, Data, People, Computers –From the Web to the Grid –Highly Parallel Light Waves Through Fiber –Emergence of a Distributed Planetary Computer

3 Dynamic Growth in Mobile Internet Forecast of Internet users worldwide ,000 1,200 1,400 1,600 1,800 2, Mobile Internet Fixed Internet Subscribers (millions) 3G Adds Mobility, QoS, and High Speeds Source: Ericsson

4 California Has Undertaken a Grand Experiment in Partnering UCSB UCLA The California NanoSystems Institute UCSF UCB The California Institute for Bioengineering, Biotechnology, and Quantitative Biomedical Research UCI UCSD The California Institute for Telecommunications and Information Technology The Center for Information Technology Research in the Interest of Society UCSC UCD UCM

5 ½ Mile Commodity Internet, Internet2 CENICs ONI, Cal-REN2, Dig. Cal. PACI Distributed Terascale Facility Wireless LANs The UCSD Living Grid Laboratory Fiber, Wireless, Compute, Data, Software SIO SDSC CS Chem Med Eng. / Cal-(IT) 2 Hosp High-speed optical core Source: Phil Papadopoulos, SDSC Wireless WAN

6 The High Performance Wireless Research and Education Network Cal-(IT)2 Will Build on This Pioneering Experiment Add New Ecological Sensor Arrays Try Out New Wireless Technologies Data Analysis Outreach and Education NSF Funded PI, Hans-Werner Braun, SDSC, UCSD Co-PI, Frank Vernon, SIO, UCSD 45mbps Duplex Backbone

7 As Our Bodies Move On-Line Bioengineering and Bioinformatics Merge New SensorsIsraeli Video Pill –Battery, Light, & Video Camera –Images Stored on Hip Device Next StepPutting You On-Line! –Wireless Internet Transmission –Key Metabolic and Physical Variables –Model -- Dozens of 25 Processors and 60 Sensors / Actuators Inside of our Cars Post-Genomic Individualized Medicine –Combine –Genetic Code –Body Data Flow –Use Powerful AI Data Mining Techniques FDA Approved Aug. 2001

8 Adding Brilliance to Wireless Sensors With Systems-on-Chip Memory Protocol Processors DSP Applications Sensors Source: Sujit Dey, UCSD ECE Embedded Software Radio Critical New Role of Power Aware Systems Internet Ad Hoc Hierarchical Network of Brilliant Sensors

9 Moores Law Simple 2D Shrinking Reaches End by 2015 CMOS Bipolar, NMOS ? 100nm Feature size (nanometers) PentiumPro PentiumIII Intel8080 Intel386 Pentium 1000nm 10nm 1nm Intel486 1 million transistors IA million 10 billion 15 DARPA Nanosciences Molecular Electronics/ Quantum / Bio 3-D CMOS + - HYBRIDS Source: Shankar Sastry, DARPA ITO

10 The Perfect Storm: Convergence of Engineering with Bio, Physics, & IT 5 nanometers Human Rhinovirus IBM Quantum Corral Iron Atoms on Copper VCSELaser 2 mm Nanogen MicroArray 500x Magnification 400x Magnification Nanobioinfotechnology

11 Why the Grid is the Future Scientific American, January 2001

12 Layered Software Approach to Building the Planetary Grid Science Portals & Workbenches Twenty-First Century Applications Computational Services PerformancePerformance Networking, Devices and Systems Grid Services (resource independent ) Grid Fabric (resource dependent) Access Services & Technology Access Grid Computational Grid Edited by Ian Foster and Carl Kesselman A source book for the history of the future -- Vint Cerf

13 The Grid Physics Network Is Driving the Creation of an International Grid Paul Avery (Univ. of Florida) and Ian Foster (U. Chicago and ANL), Lead PIs –Largest NSF Information Technology Research Grant –20 Institutions Involved –Built on Globus Middleware CMS ATLAS Sloan Digital Sky Survey LHC

14 The EUROGRID Creates an EU Virtual Machine Room UNICORE –Java Middleware Driven by Applications Links to Key Databases One Interface to Multiple Machines

15 STAR TAP: Science Technology And Research Transit Access Point Japan Korea (2) Taiwan Singapore (2) Australia (2) China Norway Iceland Sweden Finland Denmark Russia France Netherlands CERN Israel Ireland Belgium Europe/DANTE United Kingdom Canada Chile, Brazil ANSP, Brazil RNP, Mexico US: Abilene, DREN, ESnet, NISN, NREN, vBNS/vBNS+ (Abilene ITN) (CA*net3 ITN)

16 Star Light International Wavelength Switching Hub Seattle Portland Caltech SDSC NYC SURFnet, CERN CANARIE Asia- Pacific AMPATH TeraGrid *ANL, UIC, NU, UC, IIT, MREN AMPATH Source: Tom DeFanti, Maxine Brown

17 The NSF TeraGrid Partnerships for Advanced Computational Infrastructure NCSA 8 TF 4 TB Memory 240 TB disk Caltech 0.5 TF 0.4 TB Memory 86 TB disk Argonne 1 TF 0.25 TB Memory 25 TB disk TeraGrid Backbone (40 Gbps) SDSC 4.1 TF 2 TB Memory 250 TB disk This will Become the National Backbone to Support Multiple Large Scale Science and Engineering Projects Data Compute Visualization Applications

18 Pre-Blue Horizon (mid-1990s): –Model Electrostatic Forces of a Structure up to 50,000 Atoms –a Single Protein or Small Assembly Pre-TeraGrid (2001): –Model One Million Atoms –Simulate Drawing a Drug Molecule Through a Microtubule or Tugging RNA Into a Ribosome TeraGrid (2003): –Models of 10 Million Atoms –Model Function, Structure Movement, and Interaction at the Cellular Level for Drug Design and to Understand Disease Baker, N., Sept, D., Joseph, S., Holst, M., and McCammon, J. A. PNAS 98: (2001) Advancing Realism in Modeling Cell Structures Source: Fran Berman

19 Prototyping the Grid Cyber-Infrastructure for a Biomedical Imaging Research Network Source: Mark Ellisman, UCSD Part of the UCSD CRBS Center for Research on Biological Structure Wireless Pad Web Interface Surface Web NCRR Imaging and Computing Resources UCSD Cal-(IT) 2 SDSC Deep Web Duke UCLA Cal Tech Harvard UCSD Forming a National-Scale Grid Federating Multi-Scale Neuro-Imaging Data from Centers with High Field MRI and Advanced 3D Microscopes BIRN

20 From Telephone Conference Calls to Access Grid International Video Meetings Access Grid Lead-Argonne NSF STARTAP Lead-UICs Elec. Vis. Lab Creating a Virtual Global Research Lab

21 Vast Data Sets Will Require High Resolution Data Analysis Facilities SDSC SIO Newsday Photo Ira Schwarz Celera Control Room Cal-(IT) 2 Control Room Cox Communications Teraburst Networks Panoram Technologies

22 Grid-Enabled Collaborative Analysis of Ecosystem Dynamics Datasets Chesapeake Bay Data in Collaborative Virtual Environment

23 Web Browser - Portal Interface Portal Engine User Preferences State Values Data Gather XML HTML Legacy and Problem Specific Databases, Collections, & Literature Analysis Tools - Genome, Protein, & Metabolic Pathways -Cellular Models - Integrative Systems - Species Identification -GIS Biodiversity - Data Mining -... Common Portal Architecture Customized for Biological Sciences

24 A Global IT Strategy Is Needed to Integrate the Emerging Plant Genomes

25 Immense Computing Power Will Be Required to Lead in Post-Genomic Research We Dont Need an Evolution in Computing, We Need a RevolutionCraig Venter Sandia and Celera Will Collaborate On: –Advanced Algorithms –Visualization Technologies for Analyzing Massive Quantities of Experimental Data From High-Throughput Instruments Equivalent to 100,000 Pentium 4s! Prototype by 2004

26 Biology is at the Leading Edge of Using the Emerging Planetary Computer Application Software Has Been Downloaded to Over 30,000 PCs Over 500 CPU-Years Computed Total Storage 50 Terabytes, Peak Speed 13 Teraflops In Silico Drug Design Art Olson, The Scripps Research Institute

27 A Planetary MegaComputer Distributed Computing & Mass Storage Napster Meets ! Assume Ten Million PCs in Five Years –Average Speed Ten GigaFLOP –Average Free Storage 100 GB Planetary Computer Capacity –100,000 TetaFLOP Speed –1 Million Terabyte Storage Global Distributed Server for Mobile Clients

28 Will a New Form of Intelligence Join Human Kind? 1 Million x Source: Hans Moravec Will the Grid Become Self- –Organizing –Powered –Aware?

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