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SUMMARY:T. Aarrestad(CERN): Ultrafast Machine Learning Inference in FPGAs
DTSTART;TZID=Europe/Berlin:20220519T101500
DTEND:20220519T111500
DTSTAMP:20260403T230132Z
UID:7dfe24446a674037a0c42e8be0e9020d@www.uni-bonn.de
CREATED:20220513T142505Z
DESCRIPTION:At the CERN Large Hadron Collider\, protons are brought to col
 lide hundreds of millions of times per second. The collision debris allows
  us to study the fundamental building blocks of the universe and look for 
 hints of new forces and particles. The vast majority of the collision data
  are immediately discarded by a real-time event filtering system due to st
 orage and computational limitations. While most of these data are uninterr
 esting\, signals of new physics might be inadvertendly thrown away in the 
 process. The first stage of this event filtering system consists of hundre
 ds of field-programmable gate arrays (FPGAs)\, tasked with rejecting over 
 98% of the proton collisions within a few microseconds. With the start of 
 HL-LHC in 2029\, a more granular detector and more particles per collision
  will increase the event complexity significantly\, and ultimately require
  the FPGA farm to process an amount of data comparable to 5% of the total 
 internet traffic.\n\nInternational Cooperation Project
LAST-MODIFIED:20221130T101616Z
URL:https://www.uni-bonn.de/de/veranstaltungen/t-aarrestad-cern-ultrafast-
 machine-learning-inference-in-fpgas
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