1. LIGO-G050096-00-Z1 Using Condor for Large Scale Data Analysis within the LIGO Scientific Collaboration Duncan Brown California Institute of Technology

2. LIGO-G050096-00-Z2 LSC Condor Usage The LIGO Scientific Collaboration is an international effort to detect gravitational waves Condor is heavily used by the LSC for data analysis 8 LSC Condor Pools with 2000 CPUs » California Institute of Technology, LIGO Hanford Observatory, LIGO Livingston Observatory, UW-Milwaukee, University of Birmingham (UK), University of Cardiff (UK), Massachusetts Institute of Technology, AEI Over 100 users from various LSC institutions

3. LIGO-G050096-00-Z3 Scientific Results Produced with Condor Four LSC working groups analyze data for different sources Pulsar Analysis Group » Setting upper limits on the strength of periodic gravitational waves using the first science data from the GEO600 and LIGO detectors (Phys. Rev. D69 (2004) 082004) » Limits on gravitational wave emission from selected pulsars using LIGO data (Submitted to Phys. Rev. Lett.) Inspiral Analysis Group » Search for binary neutron star coalescences in the Local Group of galaxies (in preparation) » Search for Gravitational Waves from Primordial Black Hole Binary Coalescence in the Galactic Halo (in preparation) Burst Analysis Group » Upper Limits on Gravitational Wave Bursts in LIGO’s Second Science Run (in preparation) Stochastic Analysis Group » Upper Limits on a Stochastic Background of Gravitational Waves (in preparation)

4. LIGO-G050096-00-Z4 How do we use Condor? Using clusters of jobs to perform parameter sweeps Use Condor DAGMan to manage complex workflows » LIGO data comes from three detectors » Construct DAGs to describe “coincident” and “coherent” workflows » Written a set of Python classes to allow simple construction of complex DAGs Working with Pegasus group (ISI) to use Condor-G to access GRID computing resources LSC Software Stack is built on top of VDT

5. LIGO-G050096-00-Z5 Example of a LIGO Inspiral DAG

6. LIGO-G050096-00-Z6 Things we like… Standard Universe job checkpointing DAGMan workflow management Robustness for long running jobs and DAGs User priority load balancing Level of support from Condor Team

7. LIGO-G050096-00-Z7 Things we would like… Reduce the load on our negotiators » Many short jobs (~ 1 hour) on large clusters can stress the negotiation cycle » Scheduling jobs submitted by DAGMan is intensive Expansion of Standard Universe support » Separation of standard universe file I/O from checkpointing » Ability to run compiled Matlab code in standard universe Database back end to Condor » Quill sounds very interesting!