GPGPU for track finding in High Energy Physics

• DOI: 10.3204/desy-proc-2014-05/3
• Publication Date: 2015-07-11
• Authors: L. Rinaldi; A. Sidoti; M. Villa; R. Di Sipio; S. A. Tupputi; A. Gabrielli; M. Negrini; F. Semeria; Mauro Belgiovine
• Keywords: Upgrade; Tracking (education)

The LHC experiments are designed to detect large amount of physics events produced with a very high rate. Considering the future upgrades, data acquisition rate will become even higher and new computing paradigms must be adopted for fast data-processing: General Purpose Graphics Processing Units (GPGPU) is novel approach based on massive parallel computing. intense computation power provided by (GPU) expected reduce time speed-up low-latency applications used decision taking. In particular, this could hence high-level triggering in complex environments, like typical inner tracking systems multi-purpose at LHC, where number charged particle tracks luminosity upgrade. article we discuss track pattern recognition algorithm Hough Transform, dramatically execution time.