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
AUTHORS (311)
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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