| CMS Note | |
| Report number | CMS-CR-2012-167 |
| Title | Recent experience and future evolution of the CMS High Level Trigger System |
| Author(s) | Bauer, Gerry (MIT) ; Behrens, Ulf (DESY) ; Branson, James (UC, San Diego) ; Bukowiec, Sebastian Czeslaw (CERN) ; Chaze, Olivier (CERN) ; Cittolin, Sergio (UC, San Diego) ; Coarasa Perez, Jose Antonio (CERN) ; Deldicque, Christian (CERN) ; Dobson, Marc (CERN) ; Dupont, Aymeric (CERN) ; Erhan, Samim (UCLA) ; Gigi, Dominique (CERN) ; Glege, Frank (CERN) ; Gomez-Reino Garrido, Robert (CERN) ; Hartl, Christian (CERN) ; Holzner, Andre Georg (UC, San Diego) ; Masetti, Lorenzo (CERN) ; Meijers, Franciscus (CERN) ; Meschi, Emilio (CERN) ; Mommsen, Remigius (Fermilab) ; Nunez Barranco Fernandez, Carlos (CERN) ; O'Dell, Vivian (Fermilab) ; Orsini, Luciano (CERN) ; Paus, Christoph Maria Ernst (MIT) ; Petrucci, Andrea (CERN) ; Pieri, Marco (UC, San Diego) ; Polese, Giovanni (CERN) ; Racz, Attila (CERN) ; Raginel, Olivier (MIT) ; Sakulin, Hannes (CERN) ; Sani, Matteo (UC, San Diego) ; Schwick, Christoph (CERN) ; Spataru, Andrei Cristian (CERN) ; Stoeckli, Fabian (MIT) ; Sumorok, Konstanty (MIT) |
| Publication | 2012 |
| Imprint | 28 Jun 2012 |
| Number of pages | 6 |
| Presented at | 18th IEEE Real-Time Conference 2012, Berkeley, California, 11 - 15 Jun 2012 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Abstract | The CMS experiment at the LHC uses a two-stage trigger system, with events flowing from the first level trigger at a rate of 100 kHz. These events are read out by the Data Acquisition system (DAQ), assembled in memory in a farm of computers, and finally fed into the high-level trigger (HLT) software running on the farm. The HLT software selects interesting events for offline storage and analysis at a rate of a few hundred Hz. The HLT algorithms consist of sequences of offline-style reconstruction and filtering modules, executed on a farm of 0(10000) CPU cores built from commodity hardware. Experience from the 2010-2011 collider run is detailed, as well as the current architecture of the CMS HLT, and its integration with the CMS reconstruction framework and CMS DAQ. The short- and medium-term evolution of the HLT software infrastructure is discussed, with future improvements aimed at supporting extensions of the HLT computing power, and addressing remaining performance and maintenance issues. |
| Copyright/License | Preprint: (License: CC-BY-4.0) |
Record creato 2012-07-13, modificato l'ultima volta il 2018-06-07
