利用戈登来加速LHC的研究

R. Wagner, M. Tatineni, Eva Hocks, K. Yoshimoto, Scott Sakai, M. Norman, B. Bockelman, I. Sfiligoi, M. Tadel, J. Letts, F. Würthwein, L. Bauerdick
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引用次数: 3

摘要

大型强子对撞机(LHC)发现希格斯玻色子引起了国际关注。除了这个奇异的结果,大型强子对撞机还可能发现其他基本粒子,包括暗物质。这项研究的大部分都是基于LHC的一个实验——紧凑介子螺线管(CMS)的数据进行的。在2012年LHC运行期间,CMS实验能够以比计划更高的采样频率捕获数据。生成的数据被搁置,等待在CMS计算机上进行处理。虽然CMS拥有大量的计算资源,但通过与SDSC合作,将Gordon纳入CMS工作流程,对停放数据的分析提前了几个月完成。这使科学家能够更快地审查结果,并可以指导大型强子对撞机的未来计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Gordon to accelerate LHC science
The discovery of the Higgs boson by the Large Hadron Collider (LHC) has garnered international attention. In addition to this singular result, the LHC may also uncover other fundamental particles, including dark matter. Much of this research is being done on data from one of the LHC experiments, the Compact Muon Solenoid (CMS). The CMS experiment was able to capture data at higher sampling frequencies than planned during the 2012 LHC operational period. The resulting data had been parked, waiting to be processed on CMS computers. While CMS has significant compute resources, by partnering with SDSC to incorporate Gordon into the CMS workflow, analysis of the parked data was completed months ahead of schedule. This allows scientists to review the results more quickly, and could guide future plans for the LHC.
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