Speaker
Tae Min Hong
(University of Pittsburgh)
Description
We present decision trees designs that are optimized for FPGA in high energy physics trigger systems. Designs for classification, regression, anomaly detection, which occupy O(1)% resources and execute at 10s of nanoseconds, are presented. Four papers are summarized: Hong et al., JINST 16, P08016 (2021) http://doi.org/10.1088/1748-0221/16/08/P08016; Carlson et al., JINST 17, P09039 (2022) http://doi.org/10.1088/1748-0221/17/09/P09039; Roche et al., Nat. Comm. 15 (2024) 3527 http://doi.org/10.1038/s41467-024-47704-8; Serhiayenka et al., NIM A 1072 (2025) 170209 http://doi.org/10.1016/j.nima.2025.170209 .
| Preferred session (remote speakers) | Morning session |
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Author
Tae Min Hong
(University of Pittsburgh)