A roadmap for HEP software and computing R&D for the 2020s
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2019 |
| Outros Autores: | |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/1822/63372 |
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. |
| id |
RCAP_2dd164d1a7166af6e3decb6fb85d8e4a |
|---|---|
| oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/63372 |
| network_acronym_str |
RCAP |
| network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository_id_str |
https://opendoar.ac.uk/repository/7160 |
| spelling |
A roadmap for HEP software and computing R&D for the 2020sParticle physicsHL-LHCComputing & software upgradeSoftware performanceMachine learningComputing & software upgradeCiências Naturais::Ciências FísicasParticle 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.(undefined)info:eu-repo/semantics/publishedVersionSpringer International Publishing AGUniversidade do MinhoThe HEP Software FoundationCastro, Nuno Filipe20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/63372engThe HEP Software Foundation, Albrecht, J., Alves, A.A. et al. Comput Softw Big Sci (2019) 3: 7. https://doi.org/10.1007/s41781-018-0018-82510-20362510-204410.1007/s41781-018-0018-8https://link.springer.com/article/10.1007%2Fs41781-018-0018-8info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:22:37Zoai:repositorium.sdum.uminho.pt:1822/63372Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:16:42.906176Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
A roadmap for HEP software and computing R&D for the 2020s |
| title |
A roadmap for HEP software and computing R&D for the 2020s |
| spellingShingle |
A roadmap for HEP software and computing R&D for the 2020s The HEP Software Foundation Particle physics HL-LHC Computing & software upgrade Software performance Machine learning Computing & software upgrade Ciências Naturais::Ciências Físicas |
| title_short |
A roadmap for HEP software and computing R&D for the 2020s |
| title_full |
A roadmap for HEP software and computing R&D for the 2020s |
| title_fullStr |
A roadmap for HEP software and computing R&D for the 2020s |
| title_full_unstemmed |
A roadmap for HEP software and computing R&D for the 2020s |
| title_sort |
A roadmap for HEP software and computing R&D for the 2020s |
| author |
The HEP Software Foundation |
| author_facet |
The HEP Software Foundation Castro, Nuno Filipe |
| author_role |
author |
| author2 |
Castro, Nuno Filipe |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
The HEP Software Foundation Castro, Nuno Filipe |
| dc.subject.por.fl_str_mv |
Particle physics HL-LHC Computing & software upgrade Software performance Machine learning Computing & software upgrade Ciências Naturais::Ciências Físicas |
| topic |
Particle physics HL-LHC Computing & software upgrade Software performance Machine learning Computing & software upgrade Ciências Naturais::Ciências Físicas |
| description |
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. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/63372 |
| url |
http://hdl.handle.net/1822/63372 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
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 2510-2036 2510-2044 10.1007/s41781-018-0018-8 https://link.springer.com/article/10.1007%2Fs41781-018-0018-8 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Springer International Publishing AG |
| publisher.none.fl_str_mv |
Springer International Publishing AG |
| dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
| instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| instacron_str |
RCAAP |
| institution |
RCAAP |
| reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| repository.mail.fl_str_mv |
info@rcaap.pt |
| _version_ |
1833595213600260096 |