Testing and Characterization for Pattern Recognition ASIC Development

Project: Research project


Extremely fast pattern recognition capabilities are necessary to find and fit
billions of tracks at the hardware trigger level produced every second
anticipated at high luminosity LHC (HL-LHC) running conditions.
Associative Memory (AM) based approaches for fast pattern recognition
have been proposed as a potential solution to the tracking trigger. However,
at the HL-LHC, there is much less time available and speed performance
must be improved over previous systems while maintaining a comparable
number of patterns. The Vertically Integrated Pattern Recognition
Associative Memory (VIPRAM) Project at Fermilab aims to achieve the
target pattern density and performance goal using 3DIC technology.
Effective start/end date11/21/177/31/19


  • Fermi Research Alliance, LLC, Fermi National Accelerator Laboratory (PO# 640728 // E9935-5264-02)
  • Department of Energy (PO# 640728 // E9935-5264-02)


Application specific integrated circuits
Pattern recognition
Data storage equipment