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Grid Networks. UMICH. GMU. UAH. UARK. UVA. GPN. USC. DUKE. SC. TTU. GaTech. TACC. UAB. GSU. Tulane. LSU. SURAGrid. UNC-C also a member. See presentation on Nov 22, 2005 from SURAGrid team. Interesting Grid Applications. Environment/Earth.
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UMICH GMU UAH UARK UVA GPN USC DUKE SC TTU GaTech TACC UAB GSU Tulane LSU SURAGrid UNC-C also a member See presentation on Nov 22, 2005 from SURAGrid team.
Earth Science Gridhttps://www.earthsystemgrid.org/ • Producing, archiving, and providing access to climate data that informs research on global climate change. This image displays data from ESG and shows sea ice extent (white/gray), sea ice motion, sea surface temperatures (colors), and atmospheric sea level pressure (contours). ESG uses Globus software for security, data movement, and system monitoring. Image provided by UCAR.
http://www.qub.ac.uk/escience/dev/article.php?tag=genegrid_summaryhttp://www.qub.ac.uk/escience/dev/article.php?tag=genegrid_summary
Sequence alignment problem • Sequences used to find biologically meaning relationships among organisms • Evolutionary information • Determining diseases, causes, cures • Finding out information about proteins • Problem especially compute intensive for long sequences • Needleman and Wunsch (1970) - optimal global alignment • Smith and Waterman (1981) - optimal local alignment • Taylor (1987) - multiple sequence alignment by pairwise alignment • BLAST trades off optimal results for faster computation • Challenge - achieve optimal results without sacrificing speed
https://www.ud.com/company/news/files/2004_11_nytimes.pdf#search='grid%20computing%20genes'https://www.ud.com/company/news/files/2004_11_nytimes.pdf#search='grid%20computing%20genes'
http://www.technologyreview.com/articles/05/02/wo/wo_hoffman020105.asphttp://www.technologyreview.com/articles/05/02/wo/wo_hoffman020105.asp
Modeling Black Holes Cactuscode.org • Einstein’s equations of General Relativity: Gab = 0 • One of the most complex set of equations in physics • Mixed hyperbolic-elliptic initial value problem • 3 Dimensional, multiple scales • 12 or more equations, with thousands of terms • Require diverse distributed collaborations & many large scale simulations: • Parallelization, optimization • Parallel IO, data management, viz • Checkpointing, steering, interaction t=100 t=0
Using Distributed Experimental Equipment in a Grid Infrastructure
http://www.dma.unina.it/~murli/GridSummerSchool2005/repository/thursday-21/gridschool-present-050716.pdfhttp://www.dma.unina.it/~murli/GridSummerSchool2005/repository/thursday-21/gridschool-present-050716.pdf