Grid Infrastructure and Large Scale Production for ATLAS

Author

Deatrich, D. ; Liu, Siyuan ; Payne, C. ; Tafirout, R. ; Walker, Richard ; Wong, Alexander

Author_Institution

TRIUMF, Vancouver, BC

fYear

2008

fDate

9-11 June 2008

Firstpage

172

Lastpage

176

Abstract

In preparation for the startup of the LHC at CERN, the ATLAS collaboration is performing computing challenges of increasing complexity and scale. Monte Carlo production is ongoing with some 10,000 concurrent jobs worldwide, including at Canadian collaborating institutes. TRIUMF hosts one of the 10 ATLAS ´Tier-1´ data and computing centres, where 270 TB of data per year will be transferred, by high performance dedicated networks, processed and redistributed for analysis. We discuss recent large scale tests of all aspects of middleware, hardware infrastructure and procedures to support the 24 times 7 operation of the Tier-1 centre, required for LHC running.

Keywords

high energy physics instrumentation computing; position sensitive particle detectors; ATLAS collaboration; CERN; LHC; Large Hadron Collider; Monte Carlo production; grid infrastructure; large scale production; Collaboration; Computer networks; High performance computing; Job production systems; Large Hadron Collider; Large-scale systems; Middleware; Monte Carlo methods; Performance analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing Systems and Applications, 2008. HPCS 2008. 22nd International Symposium on

Conference_Location

Quebec City, Que.

ISSN

1550-5243

Print_ISBN

978-0-7695-3250-9

Type

conf

DOI

10.1109/HPCS.2008.41

Filename

4556096