240 citations · 245 across the 7 of their papers we have counts for
3 papers · 1 filter
Pinpoint resource allocation for GPU batch applications
Tim Voigtländer, Manuel Giffels, Günter Quast +2
With the increasing usage of Machine Learning (ML) in High energy physics (HEP), there is a variety of new analyses with a large spread in compute resource requirements, especially…
Surrogate Modeling for Scalable Evaluation of Distributed Computing Systems for HEP Applications
Larissa Schmid, Maximilian Horzela, Valerii Zhyla +3
The Worldwide LHC Computing Grid (WLCG) provides the robust computing infrastructure essential for the LHC experiments by integrating global computing resources into a cohesive ent…
A lightweight analysis farm for fundamental physics experiments
Sebastian Brommer, Ralf Florian von Cube, Manuel Giffels +7
Scientific collaborations require a strong computing infrastructure to successfully process and analyze data. While large-scale collaborations have access to resources such as Anal…