Using the Automata Processor for Fast Pattern Recognition in High Energy Physics Experiments - A Proof of Concept
Michael H. L. S. Wang, Gustavo Cancelo, Christopher Green, Deyuan Guo,, Ke Wang, Ted Zmuda

TL;DR
This paper demonstrates the potential of the Micron Automata Processor as a fast, commodity solution for pattern recognition in high energy physics experiments, using a toy model for proof of concept.
Contribution
It introduces a novel application of the Automata Processor for HEP trigger systems, showing its feasibility beyond text search tasks.
Findings
Proof of concept for HEP trigger application
Automata Processor can handle pattern recognition in physics data
Potential for high-speed, commodity-based solutions in HEP
Abstract
We explore the Micron Automata Processor (AP) as a suitable commodity technology that can address the growing computational needs of pattern recognition in High Energy Physics (HEP) experiments. A toy detector model is developed for which an electron track confirmation trigger based on the Micron AP serves as a test case. Although primarily meant for high speed text-based searches, we demonstrate a proof of concept for the use of the Micron AP in a HEP trigger application.
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