English

Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments

High Energy Physics - Experiment 2021-09-08 v2 Distributed, Parallel, and Cluster Computing

Abstract

Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration. The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass region. Finalizing the design of the detector relies on Monte-Carlo simulation of expected physics processes. A distributed computing pilot project was proposed to better utilize available resources at the collaborating institutes, and to improve scalability and reproducibility. This paper outlines the chosen lightweight distributed solution, presenting requirements, the component integration steps, and the experiences using a pilot system for tests with large-scale simulations. The system leverages existing technologies wherever possible, minimizing the need for software development, and deploys only non-intrusive components at the participating sites. The pilot proved that integrating existing components can dramatically reduce the effort needed to build and operate a distributed e-infrastructure, making it attainable even for smaller research collaborations.

Keywords

Cite

@article{arxiv.2105.02977,
  title  = {Building a Distributed Computing System for LDMX: Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments},
  author = {Lene Kristian Bryngemark and David Cameron and Valentina Dutta and Thomas Eichlersmith and Balazs Konya and Omar Moreno and Geoffrey Mullier and Florido Paganelli and Ruth Pöttgen and Fuzzy Rogers and Andrii Salnikov and Paul Weakliem},
  journal= {arXiv preprint arXiv:2105.02977},
  year   = {2021}
}

Comments

10 pages, 4 figures, Submitted to 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021)

R2 v1 2026-06-24T01:51:33.652Z