GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

<jats:p>Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algorithms can be computationally expensive. At the same time, the data volumes of such experiments are rapidly...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Wang, Michael, Yang, Tingjun, Flechas, Maria Acosta, Harris, Philip, Hawks, Benjamin, Holzman, Burt, Knoepfel, Kyle, Krupa, Jeffrey, Pedro, Kevin, Tran, Nhan
Muut tekijät: Massachusetts Institute of Technology. Department of Physics
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media SA 2022
Linkit:https://hdl.handle.net/1721.1/142103

Internet

https://hdl.handle.net/1721.1/142103

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