Transcript Slide 1
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. Black Hole Inspiral Gravitational Waveform Gravitational Waves from binary inspiral LIGO Scientific Collaboration http://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. 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 Montage http://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 Center http://www.scec.org CAT Knowledge Base SCEC Datatype DB Compositional Analysis Tool (CAT) Pathway Composition Tool Grid-Based Data Selector Replica Location Service Metadata Catalog Service DAX Generator SCEC is developing the Southern 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. Dax Pegasus Dag Condor DAGMAN host1 HAZARD MAP host2 GRID Data Other Success Stories People Involved Patrick Brady, Scott Koranda, Stephen Fairhurst – UWM Kent Blackburn, Duncan Brown, Teviet Creighton, Albert Lazzarini - Caltech A View of SCEC Composition Process 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, BLAST Genome Analysis and Database Update Garrick Staples - USC http://www-fp.mcs.anl.gov/pdq/pdq.htm John Mcgee, Sridhar Gullapalli – ISI ATLAS Monte Carlo data production Thanks to everyone involved in setting up the testbed and for Sloan Digital Sky Survey galaxy cluster finding http://www.sdss.org contributing the resources. Neuro Tomography - http://ncmir.ucsd.edu Data Rsl LIGO :