ML4Jets2021

Jet Identification in L1 Trigger at HL-LHC based on DNN implementation on FPGA

7 Jul 2021, 17:00

20m

Regression, Calibration, and Fast Inference

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.

Presentation materials

Andre_Sznajder.mp4

ML4Jets_sznajder_07Jul2021.key.pdf