Hierarchical \(\mathsf{k}_{\mathsf{t}}\) jet clustering for parallel architectures

DOI10.1515/ausi-2017-0012zbMath1383.81004OpenAlexW2783634493MaRDI QIDQ1698580

Richárd Forster, Ágnes Fülöp

Publication date: 16 February 2018

Published in: Acta Universitatis Sapientiae. Informatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/ausi-2017-0012

zbMATH Keywords

hierarchical clusteringcluster algorithmjetmulti-coreC++11database of experimenthal particle physics parallel computing

Mathematics Subject Classification ID

Parallel numerical computation (65Y05) Experimental work for problems pertaining to quantum theory (81-05) Numerical algorithms for specific classes of architectures (65Y10) Applications of quantum theory to specific physical systems (81Vxx)

Related Items

Hierarchical clustering with deep q-learning

Uses Software

• FastJet

Cites Work

• Jet browser model accelerated by GPUs
• Graph partitioning models for parallel computing
• FastJet user manual (for version 3.0.2)
• Parallel \(k_t\) jet clustering algorithm
• The anti-\(k_t\) jet clustering algorithm
• On Finding Graph Clusterings with Maximum Modularity
• Yang-Mills lattice on CUDA
• Fast unfolding of communities in large networks