Speaker
Dr
Andre Sznajder
(UERJ (Brazil))
Description
We investigate the possibility of using Deep Learning algorithms for jet identification in the L1 trigger at HL-LHC. We perform a survey of architectures (MLP, CNN, Graph Networks) and benchmark their performance and resource consumption on FPGAs using a QKeras+hls4ml compression-aware training procedure. We use the HLS4ML jet dataset to compare the results obtained in this study to previous literature on Fast Machine Learning applications on FPGAs.
| Affiliation | UERJ(Brazil) |
|---|---|
| Academic Rank | Professor |
Primary author
Dr
Andre Sznajder
(UERJ (Brazil))
