A fast and efficient SIMD track reconstruction algorithm for the LHCb Upgrade 1 VELO-PIX detector - Archive ouverte HAL Access content directly
Journal Articles Journal of Instrumentation Year : 2020

A fast and efficient SIMD track reconstruction algorithm for the LHCb Upgrade 1 VELO-PIX detector

Abstract

The upgraded CERN LHCb detector, due to start data taking in 2021, will have to reconstruct 4 TB/s of raw detector data in real time using commodity processors. This is one of the biggest real-time data processing challenges in any scientific domain. We present an intrinsically parallel reconstruction algorithm for the vertex detector of the LHCb experiment designed to optimally exploit multi-core general purpose architectures. We evaluate the algorithm on two high-end architectures from two different vendors and discuss in detail the impact of different SIMD Instruction Set Architecture extensions on the performance. We further compare the algorithm to current state-of-the-art scalar pattern recognition algorithms. We show a factor 2 speedup while achieving similar or better levels of physics performance.

Dates and versions

hal-02458693 , version 1 (28-01-2020)

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Cite

Arthur Hennequin, Benjamin Couturier, Vladimir Gligorov, Sebastien Ponce, Renato Quagliani, et al.. A fast and efficient SIMD track reconstruction algorithm for the LHCb Upgrade 1 VELO-PIX detector. Journal of Instrumentation, 2020, 15 (06), pp.P06018. ⟨10.1088/1748-0221/15/06/P06018⟩. ⟨hal-02458693⟩
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