GPU-accelerated event reconstruction for the COMET Phase-I experiment

نویسندگان

چکیده

This paper discusses a parallelized event reconstruction of the COMET Phase-I experiment. The experiment aims to discover charged lepton flavor violation by observing 104.97 MeV electrons from neutrinoless muon-to-electron conversion in muonic atoms. with multiple helix turns is challenging problem because hit-to-turn classification requires high computation cost. introduced algorithm finds an optimal seed position and momentum for each turn partition investigating residual sum squares based on distance-of-closest-approach (DCA) between hits track extrapolated seed. Hits DCA less than cutoff value are classified represented performance was optimized tuning refining set hits. workload over seeds defining two GPU kernels, which record parameters DCAs hits, respectively. A reasonable efficiency resolution obtained wide region covers both signal background electrons. results CPU were identical other. benchmarked GPUs had order magnitude speedup 16 cores while exact speed gains varied depending their architectures.

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ژورنال

عنوان ژورنال: Computer Physics Communications

سال: 2021

ISSN: ['1879-2944', '0010-4655']

DOI: https://doi.org/10.1016/j.cpc.2020.107606