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A Roadmap for HEP Software and Computing R&D for the 2020s

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Original languageEnglish
Number of pages49
JournalComputing and Software for Big Science
Volume3
Issue number7
Early online date20 Mar 2019
DOIs
DateAccepted/In press - 8 Dec 2018
DateE-pub ahead of print - 20 Mar 2019
DatePublished (current) - 1 Dec 2019

Abstract

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones. Similarly, it requires commensurate investment in the R&D of software to acquire, manage, process, and analyse the shear amounts of data to be recorded. In planning for the HL-LHC in particular, it is critical that all of the collaborating stakeholders agree on the software goals and priorities, and that the efforts complement each other. In this spirit, this white paper describes the R&D activities required to prepare for this software upgrade.

    Research areas

  • Machine learning, Software performance, Particle physics, HL-LHC, Computing & software upgrade

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    Rights statement: This is the final published version of the article (version of record). It first appeared online via Springer Nature at https://link.springer.com/article/10.1007%2Fs41781-018-0018-8#aboutcontent. Please refer to any applicable terms of use of the publisher.

    Final published version, 1 MB, PDF document

    Licence: CC BY

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