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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Scalable ATLAS pMSSM computational workflows using containerised REANA data analysis platform

Not scheduled
1h
Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Hampton Roads Ballroom and Foyer Area

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Poster Poster Poster Session

Speaker

Heinrich, Lukas (Max-Planck-Institut f\"ur Physik)

Description

In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run 2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics and requires running O(5k) computational workflows representing pMSSM model points. Following ATLAS Analysis Preservation policies, many analyses have been preserved as containerised Yadage workflows, and after validation were added to a curated selection for the pMSSM study. To run the workflows at scale, we utilised the REANA reusable analysis platform. We describe how the REANA platform was enhanced to ensure the best concurrent throughput by internal service scheduling changes. We discuss the scalability of the approach on Kubernetes clusters from 500 to 5000 cores. Finally, we demonstrate a possibility of using additional ad-hoc public cloud infrastructure resources by running the same workflows on the Google Cloud Platform.

Consider for long presentation No

Primary authors

Heinrich, Lukas (Max-Planck-Institut f\"ur Physik) Simko, Tibor (CERN) Donadoni, Marco (CERN) Mecionis, Audrius (CERN) Moisieienkov, Vladyslav (CERN) Vidal Garcia, Marco (CERN) Liu, Yang (Sun Yat-Sen University) Stark, Giordon (UC Santa Cruz)

Presentation materials

There are no materials yet.

Peer reviewing

Paper