Mia Liu - Fermilab - FPGA-accelerated machine learning inference as trigger and computing solutions in particle physics
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US/Central
F-108 (BLDG 362)
F-108
BLDG 362
Description
Large-scale particle physics experiments face challenging demands for both high-performance trigger system as well as high-throughput computing resources. The growing exploration of machine learning algorithms in particle physics offer new solutions for simulation, reconstruction, and analysis. These new machine learning solutions often lead to increased parallelization and faster reconstruction times on dedicated hardware, specifically Field Programmable Gate Arrays. I will discuss studies exploring the feasibility of FPGA-accelerated machine learning inference as trigger and computing solutions in particle physics.