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Stability and scalability of the CMS Global Pool: Pushing HTCondor and glideinWMS to new limits / Balcas, J (Caltech) ; Bockelman, B (Nebraska U.) ; Hufnagel, D (Fermilab) ; Hurtado Anampa, K (Notre Dame U.) ; Aftab Khan, F (NCP, Islamabad) ; Larson, K (Fermilab) ; Letts, J (UC, San Diego) ; Marra da Silva, J (Sao Paulo, IFT) ; Mascheroni, M (Fermilab) ; Mason, D (Fermilab) et al.
The CMS Global Pool, based on HTCondor and glideinWMS, is the main computing resource provisioning system for all CMS workflows, including analysis, Monte Carlo production, and detector data reprocessing activities. The total resources at Tier-1 and Tier-2 grid sites pledged to CMS exceed 100,000 CPU cores, while another 50,000 to 100,000 CPU cores are available opportunistically, pushing the needs of the Global Pool to higher scales each year. [...]
2017 - 7 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 052031 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.052031

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CMS readiness for multi-core workload scheduling / Perez-Calero Yzquierdo, A (PIC, Bellaterra ; Madrid, CIEMAT) ; Balcas, J (Caltech) ; Hernandez, J (Madrid, CIEMAT) ; Aftab Khan, F (NCP, Islamabad) ; Letts, J (UC, San Diego) ; Mason, D (Fermilab) ; Verguilov, V (CLMI, Sofia)
In the present run of the LHC, CMS data reconstruction and simulation algorithms benefit greatly from being executed as multiple threads running on several processor cores. The complexity of the Run 2 events requires parallelization of the code to reduce the memory-per- core footprint constraining serial execution programs, thus optimizing the exploitation of present multi-core processor architectures. [...]
2017 - 8 p. - Published in : J. Phys.: Conf. Ser. 898 (2017) 052030 Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.052030

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