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Crawford

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Information about Crawford
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Published on December 10, 2008

Author: aSGuest6052

Source: authorstream.com

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CyberinfrastructureFrom Dreams to Reality : CyberinfrastructureFrom Dreams to Reality Deborah L. Crawford Deputy Assistant Director of NSF forComputer & Information Science & Engineering Workshop for eInfrastructuresRome, December 9, 2003 Slide 2: 2 Daniel E. Atkins, Chair, University of Michigan Kelvin K. Droegemeier, University of Oklahoma Stuart I. Feldman, IBM Hector Garcia-Molina, Stanford University Michael L. Klein, University of Pennsylvania David G. Messerschmitt, University of California at Berkeley Paul Messina, California Institute of Technology Jeremiah P. Ostriker, Princeton University Margaret H. Wright,New York University http://www.communitytechnology.org/nsf_ci_report/ Slide 3: 3 In summary then, the opportunity is here to create cyberinfrastructure that enables more ubiquitous, comprehensive knowledge environments that become functionally complete .. in terms of people, data, information, tools, and instruments and that include unprecedented capacity for computational, storage, and communication. They can serve individuals, teams and organizations in ways that revolutionize what they do, how they do it, and who can participate. - The Atkins Report Setting the Stage Desired Characteristics : 4 Desired Characteristics Science- and engineering-driven Enabling discovery, learning and innovation Promising economies of scale and scope Supporting data-, instrumentation-, compute- and collaboration-intensive applications High-end to desktop Heterogeneous Interoperable-enabled by collection of reusable, common building blocks Integrated Cyberinfrastructure meeting the needs of a community of communities : 5 Hardware Integrated Cyberinfrastructure meeting the needs of a community of communities CI Services & Middleware Applications Environmental Science High Energy Physics Proteomics/Genomics Learning Training & Workforce Development Discovery, Learning & Innovation Science of CI Slide 6: 6 Overarching Principles Enrich the portfolio Demonstrate transformative power of CI across S&E enterprise Empower range of CI users – current and emerging System-wide evaluation and CI-enabling research informs progress Develop intellectual capital Catalyze community development and support Enable training and professional development Broaden participation in the CI enterprise Enable integration and interoperability Develop shared vision, integrating architectures, common investments Promote collaboration, coordination and communication across fields Share promising technologies, practices and lessons learned Slide 7: 7 S&E Gateways CI Commons Core Activities - Compute-centric - Information-intensive - Instrumentation-enabling - Interactive-intensive Integrative CI “system of systems” CI Planning - A Systems Approach CI-enabling Research Domain-specific strategic plans Technology/human capital roadmaps Gaps and barrier analyses (policy, funding, ..) System-wide activities Education, training (Inter)national networks Capacity computing Science of CI Baselining NSF CI Investments : 8 Baselining NSF CI Investments Core (examples) Protein Databank Network for Earthquake Engineering Simulation International Integrated Microdata Access System Partnerships, Advanced Computational Infrastructure Circumarctic Environmental Observatory Network National Science Digital Library Pacific Rim GRID Middleware Priority Areas (examples) Geosciences Network international Virtual Data Grid Laboratory Grid Research and Applications Development .. and others too numerous to mention (~$400M in FY’04) Slide 9: 9 CI Building Blocks Partnerships for Advanced Computational Infrastructure (PACI) Science Gateways (Alpha projects, Expeditions) Middleware Technologies (NPACKage, ATG, Access Grid in a Box, OSCAR ) Computational Infrastructure NSF Middleware Initiative (NMI) Production software releases GridsCenter Software Suite, etc. Early Adopters Grid Physics Network (GriPhyN), international Virtual Data Grid Laboratory (iVDGL) National Virtual Observatory Network for Earthquake Engineering Simulation (NEES) Bio-Informatics Research Network (BIRN) Extensible Terascale Facility (TERAGRID) Science Gateways (value-added of integrated system approach) Common Teragrid Software Stack (CTSS) Compute engines, Data, Instruments, Visualization Extensible Terascale Facility (TERAGRID) A CI Pathfinder : 10 Extensible Terascale Facility (TERAGRID) A CI Pathfinder Pathfinder Role integrated with extant CI capabilities clear value-added supporting a new class of S&E applications Deploy a balanced, distributed system not a “distributed computer” but rather a distributed “system” using Grid technologies computing and data management visualization and scientific application analysis remote instrumentation access Define an open and extensible infrastructure an “enabling cyberinfrastructure” demonstration extensible beyond original sites with additional funding NCSA, SDSC, ANL, Caltech and PSC ORNL, TACC, Indiana University, Purdue University and Atlanta hub Resource Providers + 4 New Sites : 11 Resource Providers + 4 New Sites NCSA: Compute Intensive SDSC: Data Intensive PSC: Compute Intensive IA64 IA64 Pwr4 EV68 IA32 IA32 EV7 IA64 10 TF IA-64 128 large memory nodes 230 TB Disk Storage 3 PB Tape Storage GPFS and data mining 4 TF IA-64 DB2, Oracle Servers 500 TB Disk Storage 6 PB Tape Storage 1.1 TF Power4 6 TF EV68 71 TB Storage 0.3 TF EV7 shared-memory 150 TB Storage Server 1.25 TF IA-64 96 Viz nodes 20 TB Storage 0.4 TF IA-64 IA32 Datawulf 80 TB Storage Extensible Backplane Network LA Hub Chicago Hub IA32 Storage Server Disk Storage Cluster Shared Memory Visualization Cluster LEGEND 30 Gb/s IA64 30 Gb/s 30 Gb/s 30 Gb/s 30 Gb/s Sun Sun ANL: Visualization Caltech: Data collection analysis 40 Gb/s Backplane Router Common Teragrid Software Stack (CTSS) : 12 Common Teragrid Software Stack (CTSS) Linux Operating Environment Basic and Core Globus Services GSI (Grid Security Infrastructure) GSI-enabled SSH and GSIFTP GRAM (Grid Resource Allocation & Management) GridFTP Information Service Distributed accounting MPICH-G2 Science Portals Advanced and Data Services Replica Management Tools GRAM-2 (GRAM extensions) CAS (Community Authorization Service) Condor-G (as brokering “super scheduler”) SDSC SRB (Storage Resource Broker) APST user middleware, etc. Slide 13: 13 TERAGRID as a Pathfinder Science Drivers - Gateways On-demand computing Remote visual steering Data-intensive computing Systems Integrator/Manager Common TERAGRID Software Stack User training & services TERAGRID Operations Center Resource Providers Data resources, compute engines, viz, user services Focus on Policy and Social Dynamics : 14 Focus on Policy and Social Dynamics Policy issues must be considered up front Social engineering will be at least as important as software engineering Well-defined interfaces will be critical for successful software development Application communities will need to participate from the beginning Fran Berman, SDSC Slide 15: 15 CI Building Blocks Partnerships for Advanced Computational Infrastructure (PACI) Science Gateways (Alpha projects, Expeditions) Middleware Technologies (NPACKage, ATG, Access Grid in a Box, OSCAR ) Computational Infrastructure NSF Middleware Initiative (NMI) Production software releases GridsCenter Software Suite, etc. Early Adopters Grid Physics Network (GriPhyN), international Virtual Data Grid Laboratory (iVDGL) National Virtual Observatory Network for Earthquake Engineering Simulation (NEES) Bio-Informatics Research Network (BIRN) Extensible Terascale Facility (TERAGRID) Science Gateways (value-added of integrated system approach) Common Teragrid Software Stack (CTSS) Compute engines, Data, Instruments, Visualization Slide 16: 16 Slide 17: 17 CI Commons Goals Commercial-grade software – stable, well-supported and well-documented User surveys and focus groups inform priority-setting Development of “Commons roadmap” Unanswered questions What role does industry play in development and support of products In what timeframe will software and services be available How will customer satisfaction be assessed and by whom What role do standards play – and does an effective standards process exist today Slide 18: 18 CI CommonsCommunity Development Approach End-user communities willing and able to modify code Adds features, repairs defects, improves code Customizes common building blocks for domain applications Leads to higher quality code, enhances diversity Natural way to set priorities Requires Education, training in community development methodologies Effective Commons governance plan Strong, sustained interaction between Commons developers and community code enhancers Challenging Context : 19 Challenging Context Cyberinfrastructure Ecology Technological change more rapid than institutional change Disruptive technology promises unforeseen opportunity Seamless Integration of New and Old Balancing upgrades of existing and creation of new resources Legacy instruments, models, data, methodologies Broadening Participation Community-Building Requires Effective Migration Strategy Slide 20: 20 On-Demand: Severe Weather Forecasting : 21 Kelvin Droegemeier, Center for Analysis and Prediction of Storms (CAPS) University of Oklahoma On-Demand: Severe Weather Forecasting Several times a week, need multiple hours dedicated access to amulti-Teraflops system. On Demand: Brain Data Grid : 22 On Demand: Brain Data Grid Duke UCLA Cal Tech Stanford U. Of MN Harvard NCRR Imaging and Computing Resources UCSD Cal-(IT)2 SDSC Deep Web Surface Web Cyberinfrastructure Linking Tele-instrumentation, Data Intensive Computing, and Multi-scale Brain Databases. Wireless “Pad” Web Interface Objective: Form a National Scale Testbed for Federating Large Databases Using NIH High Field NMR Centers Mark Ellisman, Larry Smarr, UCSD Molecular Biology Simulation : 23 User Web Portal TeraGrid Resources Data Workflow Manager Globus Client Molecular Biology Simulation Eric Jakobsson, UIUC

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