Project
eFPGA Technology

eFPGA Technology

Overall Goals

To develop embedded FPGA technology that enables real-time AI/ML deployment on detector hardware for future ultra-high data rate experiments.

Edge-Deployed Algorithms

Dual-readout Calorimeter

Extract C&S components from waveform samples

Prediction of the C&S components
Prediction of the C&S components

Github Link: Models&Plotting

Milestones

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  1. Developed and evaluated algorithms for e- testbeam data

Drift Chamber

Predict ionization cluster numbers (dN/dx) for PID

Classic Distribution of Electrons in a DCH
Distribution of Electrons in a DCH Cell

Milestones

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  1. Developed and evaluated algorithms for a Garfield++ simulation dataset

eFPGA Co-design

Design eFPGA chips with SLAC Technology Innovation Directorate (TID).