EPJ Web Conf.
Volume 251, 202125th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|Number of page(s)||10|
|Section||Distributed Computing, Data Management and Facilities|
|Published online||23 August 2021|
Building a Distributed Computing System for LDMX
Challenges of creating and operating a lightweight e-infrastructure for small-to-medium size accelerator experiments
1 Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA
2 University of Oslo, P.b. 1048 Blindern, 0316 Oslo, Norway
3 UC Santa Barbara, Santa Barbara, CA 93106, USA
4 University of Minnesota, Minneapolis, Minnesota, 55455, USA
5 Lund University, BOX 118, S - 221 00 Lund, Sweden
6 SLAC, 2575 Sand Hill Rd, Menlo Park, CA 94025, USA
* e-mail: firstname.lastname@example.org
Published online: 23 August 2021
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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