A High-Throughput Kalman Filter for Modern SIMD Architectures

Daniel Hugo Cámpora Pérez, Omar Awile, Cédric Potterat

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

The Kalman filter is a critical component of the reconstruction process of subatomic particle collision in high-energy physics detectors. At the LHCb detector in the Large Hadron Collider this reconstruction must be performed at an average rate of 30 million times per second. As a consequence of the ever-increasing collision rate and upcoming detector upgrades, the data rate that needs to be processed in real time is expected to increase by a factor of 40 in the next five years. In order to keep pace, processing and filtering software must take advantage of latest developments in hardware technology
Original languageEnglish
Title of host publicationEuro-Par 2017: Parallel Processing Workshops
Subtitle of host publicationEuropean Conference on Parallel Processing
PublisherSpringer International Publishing
Pages378-389
Number of pages12
DOIs
Publication statusPublished - 2018
Externally publishedYes

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