63 citations · 298 across the 25 of their papers we have counts for
3 papers · 1 filter
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…
Disentangling Boosted Higgs Boson Production Modes with Machine Learning
Yi-Lun Chung, Shih-Chieh Hsu, Benjamin Nachman
Higgs Bosons produced via gluon-gluon fusion (ggF) with large transverse momentum () are sensitive probes of physics beyond the Standard Model. However, high Higgs Boson…
GPU coprocessors as a service for deep learning inference in high energy physics
Jeffrey Krupa, Kelvin Lin, Maria Acosta Flechas +13
In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU performance increases will be limi…