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Cited article:

Fast and resource-efficient Deep Neural Network on FPGA for the Phase-II Level-0 muon barrel trigger of the ATLAS experiment

Stefano Giagu

EPJ Web Conf., 245 (2020) 01021

Published online: 2020-11-16

DOI: https://doi.org/10.1051/epjconf/202024501021

This article has been cited by the following article(s):

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Online computing challenges: detector and read-out requirements

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The European Physical Journal Plus 136 (12) (2021)
https://doi.org/10.1140/epjp/s13360-021-02155-8

Model compression and simplification pipelines for fast deep neural network inference in FPGAs in HEP

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The European Physical Journal C 81 (11) (2021)
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