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Browsing by Author "Wilkins-Diehr, Nancy"

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    Cyberinfrastructure, Cloud Computing, Science Gateways, Visualization, and Cyberinfrastructure Ease of Use
    (IGI Global, 2017-07-01) Stewart, Craig A.; Knepper, Richard; Link, Matthew R.; Pierce, Marlon; Wernert, Eric; Wilkins-Diehr, Nancy
    Computers accelerate our ability to achieve scientific breakthroughs. As technology evolves and new research needs come to light, the role for cyberinfrastructure as “knowledge” infrastructure continues to expand. In essence, cyberinfra- structure can be thought of as the integration of supercomputers, data resources, visualization, and people that extends the impact and utility of information technology. This article defines and discusses cyberinfrastructure and the related topics of science gateways and campus bridging, identifies future challenges in cyberinfrastructure, and discusses challenges and opportunities related to the evolution of cyberinfrastructure and cloud computing.
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    Cyberinfrastructure, Science Gateways, Campus Bridging, and Cloud Computing
    (IGI Global, 2014-07) Stewart, Craig A.; Knepper, Richard D.; Link, Matthew R.; Pierce, Marlon; Wernert, Eric A.; Wilkins-Diehr, Nancy
    Computers accelerate our ability to achieve scientific breakthroughs. As technology evolves and new research needs come to light, the role for cyberinfrastructure as “knowledge” infrastructure continues to expand. This article defines and discusses cyberinfrastructure and the related topics of science gateways and campus bridging; identifies future challenges in cyberinfrastructure; and discusses challenges and opportunities related to the evolution of cyberinfrastructure, “big data” (datacentric, data-enabled, and data-intensive research and data analytics), and cloud computing.
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    Return on Investment for three Cyberinfrastructure facilities: a local campus supercomputer; the NSF-funded Jetstream cloud system; and XSEDE (the eXtreme Science and Engineering Discovery Environment)
    (2018) Stewart, Craig A.; Hancock, David Y.; Julie, Wernert; Link, Matthew R.; Wilkins-Diehr, Nancy; Miller, Therese; Gaither, Kelly; Snapp-Childs, Winona
    The economics of high performance computing are rapidly changing. Commercial cloud offerings, private research clouds, and pressure on the budgets of institutions of higher education and federally-funded research organizations are all contributing factors. As such, it has become a necessity that all expenses and investments be analyzed and considered carefully. In this paper we will analyze the return on investment (ROI) for three different kinds of cyberinfrastructure resources: the eXtreme Science and Engineering Discovery Environment (XSEDE); the NSF-funded Jetstream cloud system; and the Indiana University (IU) Big Red II supercomputer, funded exclusively by IU for use of the IU community and collaborators. We determined the ROI for these three resources by assigning financial values to services by either comparison with commercially available services, or by surveys of value of these resources to their users. In all three cases, the ROI for these very different types of cyberinfrastructure resources was well greater than 1 – meaning that investors are getting more than 1 dollar in returned value for every 1 dollar invested. While there are many ways to measure the value and impact of investment in cyberinfrastructure resources, we are able to quantify the short-term ROI and show that it is a net positive for campuses and the federal government respectively.
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    Technical Report: XSEDE Return on Investment Data and Analysis, 2015-2017
    (2018) Stewart, Craig A.; Wernert, Julie A.; Wilkins-Diehr, Nancy; Gaither, Kelly
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    TeraGrid: Analysis of Organization, System Architecture, and Middleware Enabling New Types of Applications
    (IOS Press, 2008) Catlett, Charlie; Allcock, William E.; Andrews, Phil; Aydt, Ruth; Bair, Ray; Balac, Natasha; Banister, Bryan; Barker, Trish; Bartelt, Mark; Beckman, Pete; Berman, Francine; Bertoline, Gary; Blatecky, Alan; Boisseau, Jay; Bottum, Jim; Brunett, Sharon; Bunn, Julian; Butler, Michelle; Carver, David; Cobb, John; Cockerill, Tim; Couvares, Peter F.; Dahan, Maytal; Diehl, Diana; Dunning, Thom; Foster, Ian; Gaither, Kelly; Gannon, Dennis; Goasguen, Sebastien; Grobe, Michael; Hart, Dave; Heinzel, Matt; Hempel, Chris; Huntoon, Wendy; Insley, Joseph; Jordan, Christopher; Judson, Ivan; Kamrath, Anke; Karonis, Nicholas; Kesselman, Carl; Kovatch, Patricia; Lane, Lex; Lathrop, Scott; Levine, Michael; Lifka, David; Liming, Lee; Livny, Miron; Loft, Rich; Marcusiu, Doru; Marsteller, Jim; Martin, Stuart; McCaulay, D. Scott; McGee, John; McGinnis, Laura; McRobbie, Michael; Messina, Paul; Moore, Reagan; Moore, Richard; Navarro, J.P.; Nichols, Jeff; Papka, Michael E.; Pennington, Rob; Pike, Greg; Pool, Jim; Reddy, Raghu; Reed, Dan; Rimovsky, Tony; Roberts, Eric; Roskies, Ralph; Sanielevici, Sergiu; Scott, J. Ray; Shankar, Anurag; Sheddon, Mark; Showerman, Mike; Simmel, Derek; Singer, Abe; Skow, Dane; Smallen, Shava; Smith, Warren; Song, Carol; Stevens, Rick; Stewart, Craig A.; Stock, Robert B.; Stone, Nathan; Towns, John; Urban, Tomislav; Vildibill, Mike; Walker, Edward; Welch, Von; Wilkins-Diehr, Nancy; Williams, Roy; Winkler, Linda; Zhao, Lan; Zimmerman, Ann
    TeraGrid is a national-scale computational science facility supported through a partnership among thirteen institutions, with funding from the US Na- tional Science Foundation [1]. Initially created through a Major Research Equip- ment Facilities Construction (MREFC [2]) award in 2001, the TeraGrid facility began providing production computing, storage, visualization, and data collections services to the national science, engineering, and education community in January 2004. In August 2005 NSF funded a five-year program to operate, enhance, and expand the capacity and capabilities of the TeraGrid facility to meet the growing needs of the science and engineering community through 2010. This paper de- scribes TeraGrid in terms of the structures, architecture, technologies, and services that are used to provide national-scale, open cyberinfrastructure. The focus of the paper is specifically on the technology approach and use of middleware for the purposes of discussing the impact of such approaches on scientific use of compu- tational infrastructure. While there are many individual science success stories, we do not focus on these in this paper. Similarly, there are many software tools and systems deployed in TeraGrid but our coverage is of the basic system middleware and is not meant to be exhaustive of all technology efforts within TeraGrid. We look in particular at growth and events during 2006 as the user population ex- panded dramatically and reached an initial “tipping point” with respect to adoption of new “grid” capabilities and usage modalities.
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    Who Cares About Science Gateways? A Large-Scale Survey of Community Use and Needs (Dataset)
    (2015-09-17) Lawrence, Katherine A.; Zentner, Michael; Wilkins-Diehr, Nancy; Wernert, Julie A.; Pierce, Marlon; Marru, Suresh; Michael, Scott
    With the rise of science gateway use in recent years, we anticipate there are additional opportunities for growth, but the field is currently fragmented. This data set represents the results our efforts to measure the extent and characteristics of the gateway community through a large-scale survey. Our goal was to understand what type of support services might be provided to the gateway community.
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