DocumentCode :
2109424
Title :
The CMS High Level Trigger System
Author :
Afaq, A. ; Badge, W. ; Bauer, G. ; Biery, K. ; Boyer, V. ; Branson, J. ; Brett, A. ; Cano, E. ; Carboni, A. ; Cheung, H. ; Ciganek, M. ; Cittolin, S. ; Dagenhar, W. ; Erhan, S. ; Gigi, D. ; Glege, F. ; Gomez-Reino, R. ; Gulmini, M. ; Gutleber, J. ; Jacobs
Author_Institution :
FNAL, Batavia
fYear :
2007
fDate :
April 29 2007-May 4 2007
Firstpage :
1
Lastpage :
4
Abstract :
The CMS Data Acquisition (DAQ) System relies on a purely software driven High Level Trigger (HLT) to reduce the full Level-1 accept rate of 100 kHz to approximately 100 Hz for archiving and later offline analysis. The HLT operates on the full information of events assembled by an event builder collecting detector data from the CMS front-end systems. The HLT software consists of a sequence of reconstruction and filtering modules executed on a farm of 0(1000) CPUs built from commodity hardware. This paper presents the architecture of the CMS HLT, which integrates the CMS reconstruction framework in the online environment. The mechanisms to configure, control, and monitor the Filter Farm and the procedures to validate the filtering code within the DAQ environment are described.
Keywords :
data acquisition; high energy physics instrumentation computing; nuclear electronics; position sensitive particle detectors; trigger circuits; CMS HLT architecture; CMS data acquisition system; CMS front-end systems; CPU; DAQ; Filter Farm; Level-1 accept rate; filtering modules; frequency 100 Hz; front-end systems; offline analysis; reconstruction framework; software driven high level trigger system; Assembly systems; Collision mitigation; Computer architecture; Data acquisition; Detectors; Event detection; Filtering; Hardware; Monitoring; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Real-Time Conference, 2007 15th IEEE-NPSS
Conference_Location :
Batavia, IL
Print_ISBN :
978-1-4244-0866-5
Electronic_ISBN :
978-1-4244-0867-2
Type :
conf
DOI :
10.1109/RTC.2007.4382773
Filename :
4382773
Link To Document :
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