HPC resource integration into CMS Computing via HEPCIoud

被引:3
作者
Hufnagel, Dirk [1 ]
Holzman, Burt [1 ]
Mason, David [1 ]
Mhashilkar, Parag [1 ]
Timm, Steven [1 ]
Tiradani, Anthony [1 ]
Khan, Farrukh Aftab [1 ]
Gutsche, Oliver [1 ]
Bloom, Kenneth [2 ]
机构
[1] Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA
[2] Univ Nebraska, Lincoln, NE USA
来源
23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018) | 2019年 / 214卷
基金
美国国家科学基金会; 美国能源部;
关键词
D O I
10.1051/epjconf/201921403031
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run 3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS efforts to integrate US HPC resources into CMS Computing via the HEPC1oud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and efforts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi -threaded framework on both Haswell and KNL HPC resources.
引用
收藏
页数:8
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