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06/28/2023
Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics
High-energy physics (HEP) experiments have developed millions of lines o...
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03/03/2023
Hierarchical Graph Neural Networks for Particle Track Reconstruction
We introduce a novel variant of GNN for particle tracking called Hierarc...
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03/23/2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Many physical systems can be best understood as sets of discrete data wi...
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03/16/2022
Evolution of HEP Processing Frameworks
HEP data-processing software must support the disparate physics needs of...
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05/03/2021
The Tracking Machine Learning challenge : Throughput phase
This paper reports on the second "Throughput" phase of the Tracking Mach...
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03/11/2021
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
The Exa.TrkX project has applied geometric learning concepts such as met...
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06/30/2020
Track Seeding and Labelling with Embedded-space Graph Neural Networks
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...
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07/08/2018