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Published byPriscilla Phelps Modified over 9 years ago
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Stone Soup Workshop: Research Computing Redux
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Setting the Stage Goals and Outcomes Who we are External Contexts CyberInfrastructure Federal agencies and national labs PACI’s Grids
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Workshop Goals Share approaches to enterprise support of research computing Resources Services Understand how campuses are approaching faculty using national resources and participating in virtual organizations Identify need/value of ongoing flywheeled discussions
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Who we are… Central vs departmental/distributed Technical vs management vs user support Steady vs grant funding …
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Cyberinfrastructure A broad definition, centering around computational, data and networking resources, but with dimensions of workforce readiness, etc. The Atkins report to PITAC and NSF as the blueprint The SCI division of CISE as one part of the implementation The budget and the associated programs yet to emerge. NMI and PACI as the models…
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Federal agencies The well-spring of much research computing support Campus scientists funded to solve agency research problems, collaborating with agency and lab personnel and using lab data and computers Used to fund research networks, though that is diminishing Many of the big agencies – NSF, DOE, NASA. NIH – support both traditional and Grid-oriented major initiatives Coordination is loose and revolves around two or three committees – LSN, MAGIC, JET
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External computing resources A few discipline specific – NCAR, NASA Ames, etc. The PACI’s – SDSC, PSC, NCSA State capacities – Ohio, North Carolina, California National Labs Minnesota High Performance Army Maui DOE Energy Sites: LBL, Argonne, Los Alamos, etc. International – CERN, Radar Telescopes, etc – primarily remote instruments, but with massive data processing needs
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Grids: Hype, Reality and Hyperreality Intent and lineage Interrealm and intra-realm Grids Standards and code Major deployments Infrastructure User communities International perspective Integration with the enterprise
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Intent and Lineage Create a consistent and coordinated computing environment using widely distributed and heterogenous resources Later extended to apply to data sets and remote instrumentation Widely and loosely used term and concepts since operating systems first got boring Branded as a specific architecture in the Kesselman and Foster book, and then a specific instantiation of that architecture in a set of code called Globus Today a confusing set of architectures, organizations, and code bases
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Grids today Perceived as the only viable answer to: Physical limits in traditional computing approaches Funding limits for scientific instruments Scaling issues in massive data sets A set of major funded and highly visible science projects in the US and Europe A set of buzz-erds – Grids Today, random conferences, etc. A challenged standards process A tangled set of code alternatives
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Interrealm and intra realm Grids Inter-realm Traditional model of distributed systems, located in autonomous realms, being harnessed as a uniform resource for users in those realms and external virtual organization users. Exposes numerous AAA issues, as well as policy dimensions to scheduling, data staging, etc. Intra-realm (Enterprise) Harnessing the resources within an enterprise to either serve the high-end needs of the enterprise (Boeing) or as an outsourced service provider (IBM on-demand..) No longer needs open standards for AAA, and simplified OS issues Might require an external web service interface
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Standards and code Globus as the “de facto” standard GT3 is the current version; related to NMI releases There are deviant paths based on GT2 And other distinct code bases… And commercial stand-alone product Lots of add in modules with complex interactions Increasing use of proxies and portals to hide the complexity Global Grid Forum, standards and meetings Enterprise Grid Alliance OGSA and WSRF; GGF and OASIS
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Major deployments Infrastructure Teragrid DOE Grid NEES Grid NASA Grid User communities Physicists Energy researchers Medical researchers, chemists, geologists to come Plans to extend to broad communities such as undergrads and school kids…
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International Perspective Several major, apparently successful efforts in Europe, many revolving around CERN; one of the highlights of the EU; good showcases in Asia UK e-Science is a major set of programs Less expectation of leveraging the enterprise Simpler scaling issues Partnerships with US are essential
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Grim realities Code base is complex, changing, and incomplete Standard gaps are numerous and in critical spots Sharing is hard Teragrid security incident Deadlines slip and gross simplifications are needed And yet, IMHO, they need to be mastered.
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Integration points with the enterprise The desktops sit on a campus The users have primarily campus orientations The users tend to have significant campus prominence Frequently the resources sit on campuses Frequently the resources are jointly owned and operated by a virtual organization and a real organization
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