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A fast and efficient SIMD track reconstruction algorithm for the LHCb Upgrade 1 VELO-PIX detector
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 reconstructi...
Autores principales: | Hennequin, Arthur, Couturier, Benjamin, Gligorov, Vladimir, Ponce, Sebastien, Quagliani, Renato, Lacassagne, Lionel |
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Lenguaje: | eng |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/15/06/P06018 http://cds.cern.ch/record/2707185 |
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