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SUMMARY:Development of Hit Finding Algorithms for the DUNE Experiment Usin
 g SiMD Parallel Processing
DTSTART;VALUE=DATE-TIME:20230906T152000Z
DTEND;VALUE=DATE-TIME:20230906T154000Z
DTSTAMP;VALUE=DATE-TIME:20260811T110728Z
UID:indico-contribution-2813@indico.tlabs.ac.za
DESCRIPTION:Speakers: Adam Abed Abud (CERN)\nThe DUNE experiment will star
 t operating at the end of this decade\, with the objective of measuring in
  detail neutrino oscillations\, and other rare physics processes. Four far
  detectors modules (17 kt each) will be installed at SURF\, in South Dakot
 a\, about 1.5 km underground. The data selection system of one DUNE far de
 tector module's Time Projection Chamber (TPC) relies on the real-time proc
 essing of approximately half a million channels sampled at 2 MHz. Data for
  each channel are analyzed to identify activity incompatible with noise (h
 it finding). The hits are then clustered and processed further to form a t
 rigger decision. The aim of the DUNE data selection system is to reduce th
 e data volume produced by the detector electronics by four orders of magni
 tude. In this paper\, after the description of the application design\, we
  present the implementation and tuning of multiple software-based hit find
 ing algorithms. The high rate of incoming data (~20 GB/s per host) is sust
 ained through the employment of SiMD parallel processing\, using algorithm
  implementations based on the AVX2 instruction set. We show the obtained p
 erformance comparing it across multiple CPU hardware platforms and conclud
 e by illustrating live results from recent tests at a setup using prototyp
 e detector components.\n\nhttps://indico.tlabs.ac.za/event/112/contributio
 ns/2813/
LOCATION: Meeting Room 2.41 - 2.43
URL:https://indico.tlabs.ac.za/event/112/contributions/2813/
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