A Roadmap for HEP Software and Computing R&D for the 2020s
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Data
2019-12-01
Autores
Albrecht, Johannes
Alves, Antonio Augusto
Amadio, Guilherme
Andronico, Giuseppe
Anh-Ky, Nguyen
Aphecetche, Laurent
Apostolakis, John
Asai, Makoto
Atzori, Luca
Babik, Marian
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Resumo
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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Computing & software upgrade, HL-LHC, Machine learning, Particle physics, Software performance
Como citar
Computing and Software for Big Science, v. 3, n. 1, 2019.