BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Deploying Machine Learning Models on FPGAs
DTSTART:20260728T093000Z
DTEND:20260728T110000Z
DTSTAMP:20260802T033200Z
UID:indico-event-1704475@indico.cern.ch
DESCRIPTION:Speakers: Dimitrios Danopoulos (CERN)\n\nThis hands-on worksho
 p introduces the fundamentals of FPGA-based acceleration for machine learn
 ing applications. After a short introduction to FPGA architectures\, high-
 level synthesis (HLS)\, and the hls4ml framework\, participants will deplo
 y and explore neural network models on FPGA hardware using PYNQ boards.\nT
 hrough specific examples\, participants will understand how to examine FPG
 A inference performance\, analyze FPGA resource usage\, and explore the tr
 ade-offs between model precision\, latency\, and hardware efficiency. Pre
 requisites (optional) for hands-on demo:Participants who would like to fol
 low the hardware demo are encouraged to bring a laptop with an available U
 SB port and Ethernet port (or a USB-to-Ethernet adapter). No prior FPGA ex
 perience is required.\n\nhttps://indico.cern.ch/event/1704475/
LOCATION:513/1-024 (CERN)
URL:https://indico.cern.ch/event/1704475/
END:VEVENT
END:VCALENDAR