CLUEstering

Zenodo (CERN European Organization for Nuclear Research)

Abstract

CLUEstering is a density-based weighted clustering library based on a highly parallel and scalable algorithm, CLUE, which was developed at CERN. The library is designed to be performance portable, supporting both CPU and GPU architectures, and is implemented in C++20 using the Alpaka framework for heterogeneous computing. CLUEstering is suitable for high-performance computing environments and can be used in various applications requiring efficient clustering of large datasets.

Authors 6

1. Simone Balducci

   Istituto Nazionale di Fisica Nucleare, Sezione di Bologna · Istituto Nazionale di Fisica Nucleare · European Organization for Nuclear Research

   Affiliation as printed

   CERN, University and INFN of Bologna

2. Felice Pantaleo

   European Organization for Nuclear Research

   Affiliation as printed

   CERN

3. Aurora Perego

   University of Milano-Bicocca

   Affiliation as printed

   CERN, University of Milano Bicocca

4. Wahid Redjeb Aachen

   RWTH Aachen University

   Affiliation as printed

   CERN, RWTH Aachen University

5. Marco Rovere

   European Organization for Nuclear Research

   Affiliation as printed

   CERN

6. Francesco Giacomini

   Istituto Nazionale di Fisica Nucleare · Istituto Nazionale di Fisica Nucleare, Centro Nazionale Analisi Fotogrammi

   Affiliation as printed

   INFN-CNAF