most citedCollaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques

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physics.comp-ph2020

FPGAs-as-a-Service Toolkit (FaaST)

Dylan Sheldon Rankin, Jeffrey Krupa, Philip Harris +13

Computing needs for high energy physics are already intensive and are expected to increase drastically in the coming years. In this context, heterogeneous computing, specifically a…

physics.comp-ph2020

GPU-accelerated machine learning inference as a service for computing in neutrino experiments

Michael Wang, Tingjun Yang, Maria Acosta Flechas +7

Machine learning algorithms are becoming increasingly prevalent and performant in the reconstruction of events in accelerator-based neutrino experiments. These sophisticated algori…