27 citations · 27 across the 1 of their papers we have counts for
4 papers
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…
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…
A Dynamic Reduction Network for Point Clouds
Lindsey Gray, Thomas Klijnsma, Shamik Ghosh
Classifying whole images is a classic problem in machine learning, and graph neural networks are a powerful methodology to learn highly irregular geometries. It is often the case t…
Determination of the strong coupling constant from measurements of the total cross section for top-antitop quark production
Thomas Klijnsma, Siegfried Bethke, Günther Dissertori +1
We present a determination of the strong coupling constant using inclusive top-quark pair production cross section measurements performed at the LHC and at the Tevatron.…