2013/08/04 by A. Avetisyan, S. Bhattacharya, Avetisyan, A. +27
Computer Science · Decision Sciences · Physics and Astronomy · #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Parallel #Scientific Computing and Data Management #Simulation Techniques and Applications #and Cluster Computing (cs.DC) #cs.DC #hep-ex
paper · pdf · doi:10.48550/arxiv.1308.0843
openalex publication_date 2013/08/04 · arxiv created 2013/10/02 · arxiv updated 2013/10/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.