Fast neural network inference on FPGAs for triggering on long-lived particles at colliders

Experimental particle physics demands a sophisticated trigger and acquisition system capable to efficiently retain the collisions of interest for further investigation. Heterogeneous computing with the employment of FPGA cards may emerge as a trending technology for the triggering strategy of the up...

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Bibliographic Details
Published in:	Machine learning: science and technology Vol. 4; no. 4; pp. 45040 - 45048
Main Authors:	Coccaro, Andrea, Armando Di Bello, Francesco, Giagu, Stefano, Rambelli, Lucrezia, Stocchetti, Nicola
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.12.2023
Subjects:	Accelerator cards Accuracy Algorithms Collisions fast inference Field programmable gate arrays FPGA programming Inference Large Hadron Collider Luminosity Machine learning Neural networks Particle decay Particle physics Physics trigger and data acquisition system
ISSN:	2632-2153, 2632-2153
Online Access:	Get full text
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