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Communication Dans Un Congrès Année : 2021

Integration of Distributed Heterogeneous Computing Resources for the MPD Experiment with DIRAC Interware

N. Kutovskiy
  • Fonction : Auteur
V. Mitsyn
  • Fonction : Auteur
A. Moshkin
  • Fonction : Auteur
I. Pelevanyuk
  • Fonction : Auteur
D. Podgayny
  • Fonction : Auteur
O. Rogachevsky
  • Fonction : Auteur
B. Shchinov
  • Fonction : Auteur
V. Trofimov
  • Fonction : Auteur

Résumé

Computing and storage resources are essential for efficient Monte Carlo generation. In JINR there are several types of computing resources: Tier1 and Tier2 grid clusters, Govorun supercomputer, JINR Cloud, and NICA cluster. There are also EOS disk and dCache tape storage systems. In order to use them, users have to be aware of many details and differences between resources and keep track of load on all of them. The DIRAC Interware was adopted, configured, and expanded to fulfill requirements of massive centralized Monte Carlo generation for the multipurpose detector. For a year, the all the infrastructure was used via DIRAC to run successfully around 500 000 jobs with an average duration of 5 h each. The use of DIRAC allowed for unified data access, performance estimation, and accounting across all resources.
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Dates et versions

hal-03346806 , version 1 (16-09-2021)

Identifiants

Citer

N. Kutovskiy, V. Mitsyn, A. Moshkin, I. Pelevanyuk, D. Podgayny, et al.. Integration of Distributed Heterogeneous Computing Resources for the MPD Experiment with DIRAC Interware. RFBR grants for NICA, Oct 2020, Dubna, Russia. pp.835-841, ⟨10.1134/S1063779621040419⟩. ⟨hal-03346806⟩
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