ATLAS distributed computing: experience and evolution

15th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Nairz, A.^1

CERN, CH-1211 Geneva 23, Switzerland^1

关键词: ATLAS experiment;    Comprehensive designs;    Computing platform;    Distributed data managements;    Global production;    Management systems;    Processing systems;    Processor technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/523/1/012020/pdf
DOI  :  10.1088/1742-6596/523/1/012020

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The ATLAS experiment has just concluded its first running period which commenced in 2010. After two years of remarkable performance from the LHC and ATLAS, the experiment has accumulated more than 25 fb-1of data. The total volume of beam and simulated data products exceeds 100 PB distributed across more than 150 computing centres around the world, managed by the experiment's distributed data management system. These sites have provided up to 150,000 computing cores to ATLAS's global production and analysis processing system, enabling a rich physics programme including the discovery of the Higgs-like boson in 2012. The wealth of accumulated experience in global data-intensive computing at this massive scale, and the considerably more challenging requirements of LHC computing from 2015 when the LHC resumes operation, are driving a comprehensive design and development cycle to prepare a revised computing model together with data processing and management systems able to meet the demands of higher trigger rates, energies and event complexities. An essential requirement will be the efficient utilisation of current and future processor technologies as well as a broad range of computing platforms, including supercomputing and cloud resources. We will report on experience gained thus far and our progress in preparing ATLAS computing for the future.