USCMS Researcher: Savannah Thais
Postdoc dates: Sep 2020 - Sep 2022
Home Institution: Princeton University
Project: GNN Track Reconstruction on FPGAs Accelerators at CMS
This proposal is to conduct research in accelerating track reconstruction with the CMS detector using FPGA co-processors. Track finding and fitting is one of the most computationally challenging problems for event reconstruction in particle physics. Advanced Machine Learning (ML) poses as an exciting solution to the issue of algorithm scalability as many ML algorithms are expected to scale linearly with detector occupancy. The objective is to explore new methods and architectures for track reconstruction using Graph Neural Networks which will allow us to fully explore physics at the High Luminosity LHC.More information: My project proposal
Mentors:
-
Isobel Ojalvo (Princeton University)
- 30 Sep 2020 - "Accelerating Track Reconstruction at CMS Using FPGA Co-Processors", Savannah Thais, CMS ML Forum
Current Status
September 2022 - Columbia University
Contact me: