Proceedings chapter

Testing on a Large Scale : running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes

ContributorsATLAS Collaboration
CollaboratorsWu, Xin
Presented at Mumbai (India), 13-17 février 2006
PublisherMumbai (India) : McMillan
Publication date2006

The ATLAS Data Acquisition (DAQ) and High Level Trigger (HLT) software system will be comprised initially of 2000 PC nodes which take part in the control, event readout, second level trigger and event filter operations. This high number of PCs will only be purchased before data taking in 2007. The large CERN IT LXBATCH facility provided the opportunity to run in July 2005 online functionality tests over a period of 5 weeks on a stepwise increasing farm size from 100 up to 700 PC dual nodes. The interplay between the control and monitoring software with the event readout, event building and the trigger software has been exercised the first time as an integrated system on this large scale. New was also to run algorithms in the online environment for the trigger selection and in the event filter processing tasks on a larger scale. A mechanism has been developed to package the offline software together with the DAQ/HLT software and to distribute it via peer-to-peer software efficiently to this large pc cluster. The findings obtained during the tests lead to many immediate improvements in the software. Trend analysis allowed identifying critical areas. Running an online system on a cluster of 700 nodes successfully was found to be especially sensitive to the reliability of the farm as well as the DAQ/HLT system itself and the future development will concentrate on fault tolerance and stability.

Citation (ISO format)
ATLAS Collaboration. Testing on a Large Scale : running the ATLAS Data Acquisition and High Level Trigger Software on 700 PC Nodes. In: 15th International Conference on Computing In High Energy and Nuclear Physics (CHEP 2006). Mumbai (India). Mumbai (India) : McMillan, 2006. p. 60–65.
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Proceedings chapter (Published version)
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