Speaker
Andre Sznajder
(Universidade do Estado do Rio de Janeiro (BR))
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.
| Speaker time zone | Compatible with Europe |
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Primary author
Andre Sznajder
(Universidade do Estado do Rio de Janeiro (BR))
