TY - JOUR
T1 - A Roadmap for HEP Software and Computing R&D for the 2020s
AU - The HEP Software Foundation
AU - Albrecht, Johannes
AU - Alves, Antonio Augusto
AU - Amadio, Guilherme
AU - Andronico, Giuseppe
AU - Anh-Ky, Nguyen
AU - Aphecetche, Laurent
AU - Apostolakis, John
AU - Asai, Makoto
AU - Atzori, Luca
AU - Babik, Marian
AU - Bagliesi, Giuseppe
AU - Bandieramonte, Marilena
AU - Banerjee, Sunanda
AU - Barisits, Martin
AU - Bauerdick, Lothar A.T.
AU - Belforte, Stefano
AU - Benjamin, Douglas
AU - Bernius, Catrin
AU - Bhimji, Wahid
AU - Bianchi, Riccardo Maria
AU - Bird, Ian
AU - Biscarat, Catherine
AU - Blomer, Jakob
AU - Bloom, Kenneth
AU - Boccali, Tommaso
AU - Bockelman, Brian
AU - Bold, Tomasz
AU - Bonacorsi, Daniele
AU - Boveia, Antonio
AU - Bozzi, Concezio
AU - Bracko, Marko
AU - Britton, David
AU - Buckley, Andy
AU - Buncic, Predrag
AU - Calafiura, Paolo
AU - Campana, Simone
AU - Canal, Philippe
AU - Canali, Luca
AU - Carlino, Gianpaolo
AU - Castro, Nuno
AU - Cattaneo, Marco
AU - Cerminara, Gianluca
AU - Cervantes Villanueva, Javier
AU - Chang, Philip
AU - Chapman, John
AU - Chen, Gang
AU - Childers, Taylor
AU - Elmer, Peter
AU - Lange, David
AU - Pivarski, Jim
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
KW - Computing & software upgrade
KW - HL-LHC
KW - Machine learning
KW - Particle physics
KW - Software performance
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U2 - 10.1007/s41781-018-0018-8
DO - 10.1007/s41781-018-0018-8
M3 - Article
AN - SCOPUS:85071168228
SN - 2510-2044
VL - 3
JO - Computing and Software for Big Science
JF - Computing and Software for Big Science
IS - 1
M1 - 7
ER -