首页> 外文期刊>Физика элементарных частиц и атомного ядра >INTEGRATION OF DISTRIBUTED HETEROGENEOUS COMPUTING RESOURCES FOR THE MPD EXPERIMENT WITH DIRAC INTERWARE
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INTEGRATION OF DISTRIBUTED HETEROGENEOUS COMPUTING RESOURCES FOR THE MPD EXPERIMENT WITH DIRAC INTERWARE

机译:用DIRAC互操作系统的MPD实验集成分布式异构计算资源

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Computing and storage resources are essential for efficient Monte Carlo generation. At JINR there are several types of computing resources: Tier-1 and Tier-2 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 Multi-Purpose Detector (MPD). For a year, 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.
机译:计算和存储资源对于有效的蒙特卡罗生成至关重要。 在Jinr,有几种类型的计算资源:Tier-1和Tier-2网格集群,“Govorun”超级计算机,Jinr云和Nica集群。 还有EOS磁盘和DCache磁带存储系统。 为了使用它们,用户必须了解资源之间的许多细节和差异,并跟踪所有这些负载。 采用,配置和扩展了DIRAC互操作,以满足多功能探测器(MPD)的大规模集中式蒙特卡罗的要求。 一年来,通过DIRAC使用所有基础架构成功运行500 000个作业,平均持续时间为5小时。 使用DIRAC允许统一的数据访问,性能估计和跨所有资源的计费。

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