A roadmap for HEP software and computing R&D for the 2020s

doi:10.1007/s41781-018-0018-8

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/63372

Título:	A roadmap for HEP software and computing R&D for the 2020s
Autor(es):	The HEP Software Foundation Castro, Nuno Filipe
Palavras-chave:	Particle physics HL-LHC Computing & software upgrade Software performance Machine learning Computing & software upgrade
Data:	2019
Editora:	Springer International Publishing AG
Revista:	Computing and Software for Big Science
Citação:	The HEP Software Foundation, Albrecht, J., Alves, A.A. et al. Comput Softw Big Sci (2019) 3: 7. https://doi.org/10.1007/s41781-018-0018-8
Resumo(s):	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.
Tipo:	Artigo
URI:	https://hdl.handle.net/1822/63372
DOI:	10.1007/s41781-018-0018-8
ISSN:	2510-2036
e-ISSN:	2510-2044
Versão da editora:	https://link.springer.com/article/10.1007%2Fs41781-018-0018-8
Arbitragem científica:	yes
Acesso:	Acesso aberto
Aparece nas coleções:	LIP - Artigos/papers