% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Furletov:910466,
      author       = {Furletov, S. and Barbosa, F. and Belfore, L. and Dickover,
                      C. and Fanelli, C. and Furletova, Y. and Jokhovets, L. and
                      Lawrence, D. and Romanov, D.},
      title        = {{M}achine learning on {FPGA} for event selection},
      journal      = {Journal of Instrumentation},
      volume       = {17},
      number       = {06},
      issn         = {1748-0221},
      address      = {London},
      publisher    = {Inst. of Physics},
      reportid     = {FZJ-2022-03849},
      pages        = {C06009},
      year         = {2022},
      note         = {Post-print leider nicht verfügbar},
      abstract     = {Real-time data processing is a frontier field in
                      experimental particle physics. The application of FPGAs at
                      the trigger level is used by many current and planned
                      experiments (CMS, LHCb, Belle2, PANDA). Usually they use
                      conventional processing algorithms. LHCb has implemented
                      Machine Learning (ML) elements for real-time data processing
                      with a triggered readout system that runs most of the ML
                      algorithms on a computer farm. The work described in this
                      article aims to test the ML-FPGA algorithms for streaming
                      data acquisition. There are many experiments working in this
                      area and they have a lot in common, but there are many
                      specific solutions for detector and accelerator parameters
                      that are worth exploring further. This report describes the
                      purpose of the work and progress in evaluating the ML-FPGA
                      application.},
      cin          = {ZEA-2},
      ddc          = {610},
      cid          = {I:(DE-Juel1)ZEA-2-20090406},
      pnm          = {622 - Detector Technologies and Systems (POF4-622)},
      pid          = {G:(DE-HGF)POF4-622},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000823617800002},
      doi          = {10.1088/1748-0221/17/06/C06009},
      url          = {https://juser.fz-juelich.de/record/910466},
}