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

HEP, software, computing, big science, HL-LHC hep-ex Particle physics; HL-LHC; computing & software upgrade;,software performance; machine learning Particle physics Software Engineering FOS: Physical sciences Computing & software upgrade Computational Physics (physics.comp-ph) Software performance programming 7. Clean energy High Energy Physics - Experiment 004 High Energy Physics - Experiment (hep-ex) physics.comp-ph Information and Computing Sciences Physical Sciences Machine learning [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] [INFO]Computer Science [cs] data management Physics - Computational Physics info:eu-repo/classification/ddc/004 activity report HL-LHC
DOI: 10.1007/s41781-018-0018-8 Publication Date: 2019-03-20T10:05:56Z
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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.
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