The workflow description modified to output a VDS DAX.

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.
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.s
cec.org

• 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.

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