A Parallel-Computing Algorithm for High-Energy Physics Particle Tracking and Decoding Using GPU Architectures

A Parallel-Computing Algorithm for High-Energy Physics Particle Tracking and Decoding Using GPU Architectures

Real-time data processing is one of the central processes of particle physics experiments which require large computing resources. The LHCb (Large Hadron Collider beauty) experiment will be upgraded to cope with a particle bunch collision rate of 30 million times per second, producing 10<sup>9...

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Bibliographic Details
Main Authors: Placido Fernandez Declara, Daniel Hugo Campora Perez, Javier Garcia-Blas, Dorothea Vom Bruch, J. Daniel Garcia, Niko Neufeld
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
CUDA
GPGPU
track reconstruction
particle tracking
parallel programming
Online Access:https://ieeexplore.ieee.org/document/8756134/

Internet

https://ieeexplore.ieee.org/document/8756134/

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