Maciej Mikolaj Glowacki
(CERN),
Marius Köppel
(ETH Zurich (CH))
04/09/2025, 17:00
Topical session
We present an MLOps-based approach for managing the end-to-end lifecycle of machine learning (ML) algorithms deployed on FPGAs in real-time trigger systems, as used in experiments such as CMS and ATLAS. The primary objective of this pipeline is to enable agile and robust responses to evolving detector and beam conditions by automating the collection of new training data, retraining and...
Yaman Umuroglu
04/09/2025, 17:00
Topical session
QONNX (Quantized ONNX) serves as a shared input representation and frontend for several efficient inference projects, including FINN, chisel4ml and NN2FPGA. This birds-of-a-feather session would serve as a gathering point for the community to discuss recent developments and future plans for QONNX.
