Status Report: Cyberinfrastructure Strategic Planning Activities BIO Advisory Committee November 17, 2005 Manfred Zorn, Chris Greer, Liz Blood, Sally O’Connor Recent Events • Cyberinfrastructure Council established • Advisory Committee for Cyberinfrastructure • Agency-wide Strategic Planning Process Underway • Office of Cyberinfrastructure established • Search for Office Director – position posted CI Strategic Planning CI “Vision” document • Ch. 1: Call to Action • Ch. 2: Strategic Plan for High Performance Computing • Ch. 3: Strategic Plan for Data, Data Analysis & Visualization • Ch. 4: Strategic Plan for Collaboration, Communication & Remote Access • Ch. 5: Strategic Plan for Education & Workforce Development Charge to HPC Team Draft plan for 5-year strategy • to enable petascale science and engineering through the deployment and support of a world-class HPC environment comprising the most capable combination of HPC assets available to the academic community. Draft HPC Plan • Specification, Acquisition, Deployment and Operation of Science-Driven HPC Systems Architectures • Development and Maintenance of Supporting Software: New Design Tools, Performance Modeling Tools, Systems Software, and Fundamental Algorithms. • Development and Maintenance of Portable, Scalable Applications Software Released September 26, 2005 HPC Team Progress Initial Hardware Acquisition • High Performance Computing System Acquisition: Towards a Petascale Computing Environment for Science and Engineering NSF 05-625 Posted September 27, 2005 Current HPC Team Members Abhi Deshmukh (ENG) Manfred Zorn (BIO) Frank Scioli (SBE) Debasish Dutta (EHR) Vladimir Papitashvili (OPP) Clifford Jacobs (GEO) Almadena Chtchelkanova (CISE) Celeste Rohlfing (MPS) Stephen Meacham (OCI) Jose Muñoz (OCI) Ex officio Deb Crawford (OCI) Continuing efforts of HPC Team • Continue developing details of the HPC requirements in the various domains • Develop process to pick a representative set of six or seven application benchmarks for the FY07 HPC acquisition • Other HPC issues: – catalyze the development of new HPC codes – transform existing approaches using algorithms better suited to the new types of HPC systems BIO HPC efforts • Define BIO continuum of HPC needs – Match BIO applications to HPC architecture • Develop strategies to overcome barriers – Sociological barriers, e.g, data ownership – Technical barriers, e.g., data formats, metadata • Other HPC issues: – catalyze the development of new HPC codes – transform existing approaches using algorithms better suited to the new types of HPC systems Charge to Data Team Develop a 5-year strategy that: • • • • • Provides data resources, tools, and services Considers NSF portfolio Promotes interoperability and collaboration Promotes interagency partnerships Defines a comprehensive programmatic and policy framework Data Team Members Jim French (CISE) Fillia Makedon (OCI) Nigel Sharp (MPS) Chris Greer (BIO) Dan Newlon (SBE) Sylvia Spengler (CISE) Ex officio Deb Crawford (OCI) David Lightfoot (SBE) Data Team Timeline • • • • • Aug. 2, 2005 Sep. 6 Sep./Oct. Nov. Jan., 2006 Organizational meeting Outline to CI Council Directorate input Full draft of strategic plan Comments on strategic plan, Draft implementation plan Data Team – Emerging Themes Vision: The National Science Foundation envisions a cyberinfrastructure universe in which data are routinely deposited in convenient locations, are regularly and easily consulted in welldocumented form by specialists and nonspecialists alike, are openly accessible while suitably protected, and are reliably preserved. Data Team – Emerging Themes Strategy: Working in partnership with the community and with other US and international agencies and organizations, NSF will promote the development of a system of digital data collections that is as robust as that that exists now for preservation of information in the print realm. . Charge to COVO Team Develop 5-year strategy that: identifies the unique scientific opportunities afforded by collaboratories, observatories and virtual organizations (COVO), describes the resources, tools and services to enable functionallycomplete knowledge environments that are highly-interactive, widely accessible, and easily usable; identifies opportunities to realize economies of scale and scope; promotes interoperability and federalization; promotes an effective, inclusive community governance strategy; encourages strong partnerships among NSF directorates; leverages investments made by other federal agencies and organizations, including the private sector; and defines a flexible programmatic and policy framework COVO Team Members Art Goldstein (GEO) Bonnine Thompson (INT) Randy Ruchti (MPS) Kevin Thompson* (OCI) Liz Blood (BIO) Tom Baerwald (SBE) Chuck Baudin (MPS) Joy Pauschke* (ENG) Ex officio Deb Crawford (OCI) Michael Turner (MPS) COVO Team Timeline • • • • • Oct. 19, 2005 Nov. 14 Nov./Dec. Dec 30 Feb 3, 2006 Organizational meeting Outline to CI Council Directorate input Full draft of strategic plan Comments on strategic plan, Draft implementation plan COVO Team – Emerging Themes • Draft outline complete – pending CI Council approval – Vision – Guiding Principles – Strategies Learning & Workforce Development (LWD Team) • Team is now being formed, short timeline anticipated • Ex Officio: Jim Collins (BIO), Deb Crawford (OCI) • Sally O’Connor (BIO) will participate • Other team members are being confirmed Draft Charge to LWD Team Prepare a five-year strategic plan that: • Identifies CI-enabled opportunities in learning and workforce development • Ensures that current and future generations of scientists and engineers have the necessary competencies • Describes the resources, tools and services for community-developed learning environments Draft Charge to LWD Team (cont’d) • Encourages strong partnerships among NSF directorates • Leverages investments made by other agencies and the private sector • Defines a flexible programmatic and policy framework for prioritizing and managing investments. Challenges on Different Architectures 1 10 Whole genome Genome Assembly Annotation “Loosely Coupled” 1000 Populationbased whole cell model protein threading Genome Small ODE Metabolic network 100 Stochastic metabolic / regulatory network Molecular dynamics of protein machine Physicsbased protein folding “Massively Parallel”
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