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GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments
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 increasing. Th...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931905/ https://www.ncbi.nlm.nih.gov/pubmed/33693426 http://dx.doi.org/10.3389/fdata.2020.604083 |