Real-time inference with 2d convolutional neural networks on field programmable gate arrays for high-rate particle imaging detectors

HIGHLIGHTS

• who: Yeon-jae Jwa from the Columbia University, New York, NY, United States have published the article: Real-Time Inference With 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-Rate Particle Imaging Detectors, in the Journal: (JOURNAL) of December/20,/2021
• what: The authors investigate, for the first time, the implementation of a relatively small 2D CNN onto an FPGA, targeted for use in the front-end readout electronics of the future Deep Underground Neutrino Experiment (DUNE) (Abi et_al, 2020a,b,c,d), motivated by previous exploration and findings in Jwa et_al . . .
  

   

  

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