Work

Real-time data processing with GPUs in high energy physics

Year: 2020

Type: article

Abstract: 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.

Source: Journal of Instrumentation

DOI: 10.1088/1748-0221/15/06/c06010

Author: D. vom Bruch

Institutions: Centre National de la Recherche Scientifique, Sorbonne Université, Sorbonne Paris Cité, Laboratoire de Physique Nucléaire et de Hautes Énergies, Institut National de Physique Nucléaire et de Physique des Particules

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,146

OpenAlex ID: W3013939612

FWCI: 1.256

Cites: 12

Cited by: 11

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