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CERN Document Server 找到 5 笔记录  检索需时 0.77 秒. 
1.
Evolution of the CMS Global Submission Infrastructure for the HL-LHC Era / CMS Collaboration
Efforts in distributed computing of the CMS experiment at the LHC at CERN are now focusing on the functionality required to fulfill the projected needs for the HL-LHC era. Cloud and HPC resources are expected to be dominant relative to resources provided by traditional Grid sites, being also much more diverse and heterogeneous. [...]
CMS-CR-2020-055.- Geneva : CERN, 2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 03016 Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03016
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2.
Exploring GlideinWMS and HTCondor scalability frontiers for an expanding CMS Global Pool / CMS Collaboration
The CMS Submission Infrastructure Global Pool, built on GlideinWMS and HTCondor, is a worldwide distributed dynamic pool responsible forthe allocation of resources for all CMS computing workloads. Matching the continuously increasing demand for computing resources by CMS requires the anticipated assessment of its scalability limitations. [...]
FERMILAB-CONF-19-553-SCD.- 2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 03002 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03002
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3.
Improving efficiency of analysis jobs in CMS / Ivanov, Todor Trendafilov (Sofiya U.) /CMS Collaboration
Hundreds of physicists analyze data collected by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider using the CMS Remote Analysis Builder and the CMS global pool to exploit the resources of the Worldwide LHC Computing Grid. Efficient use of such an extensive and expensive resource is crucial. [...]
CMS-CR-2018-299.- Geneva : CERN, 2019 - 9 p. - Published in : EPJ Web Conf. 214 (2019) 03006 Fulltext: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03006
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4.
A comparison of different database technologies for the CMS AsyncStageOut transfer database / Ciangottini, D (INFN, Perugia) ; Balcas, J (Caltech) ; Mascheroni, M (Fermilab) ; Rupeika, E A (Vilnius U.) ; Vaandering, E (Fermilab) ; Riahi, H (CERN) ; Silva, J M D (Sao Paulo, IFT) ; Hernandez, J M (Madrid, CIEMAT) ; Belforte, S (INFN, Trieste) ; Ivanov, T T (Sofiya U.)
AsyncStageOut (ASO) is the component of the CMS distributed data analysis system (CRAB) that manages users transfers in a centrally controlled way using the File Transfer System (FTS3) at CERN. It addresses a major weakness of the previous, decentralized model, namely that the transfer of the user’s output data to a single remote site was part of the job execution, resulting in inefficient use of job slots and an unacceptable failure rate. [...]
2017 - 6 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 042048 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.042048
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5.
Efficient monitoring of CRAB jobs at CMS / Silva, J M D (Sao Paulo, IFT) ; Balcas, J (Caltech) ; Belforte, S (INFN, Trieste) ; Ciangottini, D (INFN, Perugia) ; Mascheroni, M (Fermilab) ; Rupeika, E A (Vilnius U.) ; Ivanov, T T (Sofiya U.) ; Hernandez, J M (Madrid, CIEMAT) ; Vaandering, E (Fermilab)
CRAB is a tool used for distributed analysis of CMS data. Users can submit sets of jobs with similar requirements (tasks) with a single request. [...]
2017 - 6 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 092036 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.092036
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