@book{
 title = {TeraGrid: Analysis of organization, system architecture, and middleware enabling new types of applications},
 type = {book},
 year = {2008},
 source = {Advances in Parallel Computing},
 pages = {225-249},
 volume = {16},
 websites = {http://ebooks.iospress.nl/publication/26292,http://hdl.handle.net/2022/14524},
 id = {b2277038-27d7-3229-a023-2321eec17879},
 created = {2019-10-01T18:06:10.376Z},
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 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2020-09-09T17:36:27.913Z},
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 citation_key = {Catlett2008},
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 abstract = {TeraGrid is a national-scale computational science facility supported through a partnership among thirteen institutions, with funding from the US National Science Foundation [1]. Initially created through a Major Research Equipment 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 describes 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 computational 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 expanded dramatically and reached an initial 'tipping point' with respect to adoption of new 'grid' capabilities and usage modalities. © 2008 The authors and IOS Press.},
 bibtype = {book},
 author = {Catlett, C. and Allcock, W. E. and Andrews, P. and Aydt, R. and Bair, R. and Balac, N. and Banister, B. and Barker, T. and Bartelt, M. and Beckman, P. and Berman, F. and Bertoline, G. and Blatecky, A. and Boisseau, J. and Bottum, J. and Brunett, S. and Bunn, J. and Butler, M. and Carver, D. and Cobb, J. and Cockerill, T. and Couvares, P.F. and Dahan, M. and Diehl, D. and Dunning, T. and Foster, I. and Gaither, K. and Gannon, D. and Goasguen, S. and Grobe, M. and Hart, D. and Heinzel, M. and Hempel, C. and Huntoon, W. and Insley, J. and Jordan, C. and Judson, I. and Kamrath, A. and Karonis, N. and Kesselman, C. and Kovatch, P. and Lane, L. and Lathrop, S. and Levine, M. and Lifka, D. and Liming, L. and Livny, M. and Loft, R. and Marcusiu, D. and Marsteller, J. and Martin, S. and McCaulay, S. and McGee, J. and McGinnis, L. and McRobbie, M. and Messina, P. and Moore, R. and Moore, R. and Navarro, J.P. and Nichols, J. and Papka, M.E. and Pennington, R. and Pike, G. and Pool, J. and Reddy, R. and Reed, D. and Rimovsky, T. and Roberts, E. and Roskies, R. and Sanielevici, S. and Scott, J.R. and Shankar, A. and Sheddon, M. and Showerman, M. and Simmel, D. and Singer, A. and Skow, D. and Smallen, S. and Smith, W. and Song, C. and Stevens, R. and Stewart, C. and Stock, R.B. and Stone, N. and Towns, J. and Urban, T. and Vildibill, M. and Walker, E. and Welch, V. and Wilkins-Diehr, N. and Williams, R. and Winkler, L. and Zhao, L. and Zimmerman, A.}
}

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