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Exploring Grid Computing Applications in Earth Science and Biology

Discover the impactful applications of grid computing in Earth science and biology. This presentation highlights how climate data is archived and accessed to study global climate change, showcasing sea ice extent and surface temperature data. In the realm of medicine, advanced algorithms are used for DNA sequence alignment to inform research on diseases and evolutionary relationships. Collaborating institutions like UMICH and GMU leverage distributed computing for complex scientific challenges. Join us in understanding how grid technologies are shaping future research.

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Exploring Grid Computing Applications in Earth Science and Biology

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  1. Grid Networks

  2. 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.

  3. Interesting Grid Applications

  4. Environment/Earth

  5. 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.

  6. http://www.grid.unep.ch/

  7. http://www.worldcommunitygrid.org/

  8. http://www.worldcommunitygrid.org/

  9. Medicine/Biology

  10. http://www.ediamond.ox.ac.uk/

  11. http://www.openmolgrid.org/

  12. http://www.qub.ac.uk/escience/dev/article.php?tag=genegrid_summaryhttp://www.qub.ac.uk/escience/dev/article.php?tag=genegrid_summary

  13. DNA as a linear array

  14. 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

  15. http://www.volunteersoaz.org/information/?NavPageID=47985

  16. 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'

  17. http://www.technologyreview.com/articles/05/02/wo/wo_hoffman020105.asphttp://www.technologyreview.com/articles/05/02/wo/wo_hoffman020105.asp

  18. http://www.grid.org/projects/hpf/about.htm

  19. http://www.inq7.net/inf/2003/jun/27/text/inf_6-1-p.htm

  20. Engineering

  21. http://www.geodise.org/

  22. Physics

  23. http://www.nsc.liu.se/ngssc-grid/hep-nielsen.pdf

  24. 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

  25. http://www.fusiongrid.org/

  26. http://www.gridpp.ac.uk/

  27. http://www.ppdg.net/

  28. http://www.grace-ist.org/

  29. Workflow

  30. http://kepler-project.org/

  31. Using Distributed Experimental Equipment in a Grid Infrastructure

  32. http://www.gridbus.org/vlab/

  33. Data grids

  34. http://eu-datagrid.web.cern.ch/eu-datagrid/

  35. http://oodt.jpl.nasa.gov/oodt-site/index.html

  36. http://www.ogsadai.org.uk/

  37. Grid computing project using MPI

  38. 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

  39. Grid computing courses

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