Real-time data processing with GPUs in high energy physics

As high energy physics experiments reach higher luminosities and intensities, the computing burden for real time data processing and reduction grows. Following the developments in the computing landscape, multi-core processors such as graphics processing units (GPUs) are increasingly used for such t...

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Bibliographic Details
Published in:arXiv.org 2020-06
Main Author: Dorothea vom Bruch
Format: Article
Language:English
Subjects:
Data processing
Graphics processing units
High energy physics
Microprocessors
Physics
Real time
Online Access:Get full text
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Summary:As high energy physics experiments reach higher luminosities and intensities, the computing burden for real time data processing and reduction grows. Following the developments in the computing landscape, multi-core processors such as graphics processing units (GPUs) are increasingly used for such tasks. These proceedings provide an introduction to the GPU architecture and describe how it maps to common tasks in real time data processing. In addition, specific use cases of GPUs in the trigger systems of five different high energy physics experiments are presented.
ISSN:2331-8422
DOI:10.48550/arxiv.2003.11491