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20102026
most citedGPU-accelerated machine learning inference as a service for computing in neutrino experiments

26 citations · 46 across the 13 of their papers we have counts for

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physics.ins-det2022

Evaluation of Portable Programming Models to Accelerate LArTPC Detector Simulations

Zhihua Dong, Kyle Knoepfel, Meifeng Lin +2

The Liquid Argon Time Projection Chamber (LArTPC) technology is widely used in high energy physics experiments, including the upcoming Deep Underground Neutrino Experiment (DUNE).…

physics.ins-det2021★ 4 cited

Optimizing the Hit Finding Algorithm for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures

Sophie Berkman, Giuseppe Cerati, Kyle Knoepfel +5

Neutrinos are particles that interact rarely, so identifying them requires large detectors which produce lots of data. Processing this data with the computing power available is be…