Jet browser model accelerated by GPUs

DOI10.1515/AUSI-2016-0008zbMath1407.82006OpenAlexW2578671227MaRDI QIDQ508545

Fülöp Ágnes, Richárd Forster

Publication date: 7 February 2017

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

Full work available at URL: https://doi.org/10.1515/ausi-2016-0008

zbMATH Keywords

jetCUDAGPUdatabase of experimental particle physics parallel computingtrajectory reconstruction algorithm

Mathematics Subject Classification ID

Nuclear physics (81V35) Parallel numerical computation (65Y05) Statistical mechanics of plasmas (82D10) Numerical algorithms for specific classes of architectures (65Y10) Software, source code, etc. for problems pertaining to statistical mechanics (82-04)

Related Items (3)

Hierarchical clustering with deep q-learning ⋮ Hierarchical \(\mathsf{k}_{\mathsf{t}}\) jet clustering for parallel architectures ⋮ Parallel \(k_t\) jet clustering algorithm

Uses Software

• CUDA
• PYTHIA8

Cites Work

• Unnamed Item
• A brief introduction to PYTHIA 8.1
• Yang-Mills lattice on CUDA

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