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Pegasus at work on the Grid http://pegasus.isi.edu. P egasus supports a wide variety of workflows running on the Grid from various scientific fields ranging from Astrophysics, Astronomy, High Energy Physics to Earthquake Sciences and Computational Biology.
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Pegasus at work on the Grid http://pegasus.isi.edu Pegasus supports a wide variety of workflows running on the Grid from various scientific fields ranging from Astrophysics, Astronomy, High Energy Physics to Earthquake Sciences and Computational Biology. LIGO Scientific Collaborationhttp://www.ligo.org • Radio observations confirm the existence of binary neutron star systems in the Galaxy. • In previous science runs, approximately a thousand of shapes or templates were required; • Increasing complexity with design sensitivity. • Currently searches performed on dedicated Beowulf clusters with ~ 300 CPUs. • Very Compute intensive hence ideal candidate for Grid Computing • Production analysis of S3 data to demonstrate scalability of the inspiral analysis tools on to a full-scale Grid testbed. Black Hole Inspiral Gravitational Waveform Gravitational Waves from binary inspiral Binary black hole inspiral (artist rendering) • The workflow description modified to output a VDS DAX. • The workflow description toolkit developed allows any concrete workflow description to be migrated onto the LSC Data Grid using Pegasus. • The LSC is using the occasion of SC2004 to undertake a production analysis of data from its third science run (S3) to search for gravitational waves from binary neutron stars and black holes. LSC Testbed Montagehttp://montage.ipac.caltech.edu • Delivers science grade custom mosaics on demand • Produces mosaics from a wide range of data sources (possibly in different spectra) • User-specified parameters of projection, coordinates, size, rotation and spatial sampling. A small montage workflow The Sword of Orion (M42, Trapezium, Great Nebula). This mosaic was obtained by running a Montage workflow through Pegasus and executing the concrete workflow the Teragrid resources. Southern California Earthquake Centerhttp://www.scec.org • SCEC is developing theSouthern California Earthquake Center Community Modeling Environment (SCEC/CME). • Grid computing have made practical to create fully three-dimensional (3D) simulations of fault-system dynamics. • These physics-based simulations can potentially provide enormous practical benefits for assessing and mitigating earthquake risks through Seismic Hazard Analysis (SHA). • The SCEC/CME system is an integrated geophysical simulation modeling framework that automates the process of selecting, configuring, and executing models of earthquake systems on the grid via Pegasus. People Involved LIGO : Patrick Brady, Scott Koranda, Stephen Fairhurst – UWM Kent Blackburn, Duncan Brown, Teviet Creighton, Albert Lazzarini - Caltech Gabriela Gonzalez - Louisiana State University MONTAGE : Bruce Berriman, John Good, Anastasia Laity - Caltech/IPAC Joseph Jacob, Daniel Katz - JPL SCEC : Vipin Gupta, Phil Maechling, Maureen Dougherty, Brian Mendenhall, Garrick Staples - USC John Mcgee, Sridhar Gullapalli – ISI Thanks to everyone involved in setting up the testbed and for contributing the resources. A View of SCEC Composition Process Other Success Stories • BLAST Genome Analysis and Database Update http://www-fp.mcs.anl.gov/pdq/pdq.htm • ATLAS Monte Carlo data production • Sloan Digital Sky Survey galaxy cluster finding http://www.sdss.org • Neuro Tomography - http://ncmir.ucsd.edu