Snowmass Energy Frontier Simulations using the Open Science Grid : A Snowmass 2013 whitepaper

Authors

Aram Avetisyan, Boston University
Saptaparna Bhattacharya, Brown University
Meenakshi Narain, Brown University
Sanjay Padhi, University of California - San Diego
Jim Hirschauer, Fermi National Accelerator Lab, Batavia
Tanya Levshina, Fermi National Accelerator Lab, Batavia
Patricia McBride, Fermi National Accelerator Lab, Batavia
Chander Sehgal, Fermi National Accelerator Lab, Batavia
Marko Slyz, Fermi National Accelerator Lab, Batavia
Mats Rynge, Information Sciences Institute, Marina del Rey,
Sudhir Malik Dr., University of Nebraska-LincolnFollow
John Stupak III, Purdue University Calumet, Hammond

Date of this Version

Summer 8-4-2013

Citation

http://arxiv.org/pdf/1308.0843.pdf

Comments

Copyright (c) 2013 by the authors.

Abstract

Snowmass is a US long-term planning study for the high-energy community by the American Physical Society’s Division of Particles and Fields. For its simulation studies, opportunistic resources are harnessed using the Open Science Grid infrastructure. Late binding grid technology, GlideinWMS, was used for distributed scheduling of the simulation jobs across many sites mainly in the US. The pilot infrastructure also uses the Parrot mechanism to dynamically access CvmFS in order to ascertain a homogeneous environment across the nodes. This report presents the resource usage and the storage model used for simulating large statistics Standard Model backgrounds needed for Snowmass Energy Frontier studies.