We introduce a novel variant of GNN for particle tracking called Hierarc...
Scientific communities are increasingly adopting machine learning and de...
This paper reports on the second "Throughput" phase of the Tracking Mach...
This paper presents a practical methodology for collecting performance d...
Deep learning applications are usually very compute-intensive and requir...
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...