BigHPC2024: Special Track on Big Data and High-Performance Computing

Following the success of last year’s edition, BigHPC is back! The Special Track about Big Data and High-Performance Computing (BigHPC2024) is held alongside the Italian Conference on Big Data and Data Science (ITADATA2024) to highlight the enabling technologies for data science, including parallel, distributed, and network-based computing.

BigHPC2024 is led by the CINI National Laboratory on High-Performance Computing, Key Technologies, and Tools and it is part of the dissemination effort of the ADMIRE H2020 EuroHPC project.


Following the success of last year’s edition, BigHPC is back, led by the CINI National Laboratory on High-Performance Computing, Key Technologies, and Tools! Contributions are welcomed from academia and industry, presenting research results on all theoretical and practical aspects standing at the intersection of High-Performance Computing and Big Data. The event focuses on contributions to High-Performance Computing architectures, algorithms, models, and management approaches for large data collections, including data processing, analysis, reporting, data protection, experimental studies, hands-on insights, datasets, and lessons learned.
Topics of interest include, but are not limited to:

  • High-performance computing Architectures and systems for Big Data
  • Parallel and distributed algorithms for Big Data processing
  • HPC-enabled data analytics
  • High-performance data storage and retrieval systems
  • Performance modeling and evaluation of HPC systems for Big Data
  • HPC in machine learning and artificial intelligence
  • HPC for scientific computing and simulations
  • HPC in the Cloud for Big Data Processing
  • Energy-efficient HPC for Big Data

BigHPC24 accepts two different submissions for review, including:

  • Original research papers (min 6 pages, max 10 pages). This type of contribution should not have been published elsewhere and should not currently be under consideration for another journal, conference, or workshop. Original research papers will be published in the CEUR proceedings and must follow the CEUR-ART style files (1 column) available here
  • Extended abstracts (min 2 pages, max 5 pages). This type of contribution may present work in progress or contributions that have already been published or are in preparation for publication. The extended abstracts must follow the CEUR-ART style files (1 column) available here.

Manuscripts must be submitted to the HPC and Data Science track using the ITADATA submission site. The contributions will be evaluated and selected based on their quality, originality, relevance, and timelines. The BigHPC24 chairs submitted a request to organize a special issue in a reputable journal focused on the same topics as the BigHPC track. The authors of original research papers will be invited to submit an extended version of their work for evaluation.

Important dates

Submissions due

June 23rd, 2024 July 31st, 2024 (Extended)

Author notification

August 11th, 2024

Camera-ready paper and registration due

September 1st, 2024



  • Alessia Antelmi, University of Turin
  • Emanuele Carlini, ISTI-CNR


  • Patrizio Dazzi, University of Pisa


  • Patrizio Dazzi (Chair), University of Pisa
  • Marco Aldinucci, University of Turin
  • Beniamino Di Martino, Second University of Naples
  • William Fornaciari, Politecnico di Milano
  • Marco Lapegna, University of Naples
  • Raffaele Montella, University of Naples “Parthenope”
  • Domenico Talia, University of Calabria


  • Claudio Ardagna, University of Milan
  • Antonio Bucchiarone, Fondazione Bruno Kessler
  • Valeria Cardellini, University of Rome "Tor Vergata"
  • Paolo Ciancarini, University of Bologna "Alma Mater Studiorum"
  • Angelo Ciaramella, University of Naples “Parthenope”
  • Claudio Cicconetti, IIT-CNR
  • Iacopo Colonnelli, University of Turin
  • Massimo Coppola, ISTI-CNR
  • Daniele D’Agostino, University of Genova
  • Pasqua D'Ambra, IAC-CNR
  • Marco Danelutto, University of Pisa
  • Diana Di Luccio, University of Naples “Parthenope”
  • Maria Fazio, University of Messina
  • Roberto Giorgi, University of Siena
  • Giuliano Laccetti, University of Naples "Federico II"
  • Carlo Mastroianni, ICAR-CNR
  • Doriana Medic, University of Turin
  • Valeria Mele, University of Naples "Federico II"
  • Gabriele Mencagli, University of Pisa
  • Matteo Mordacchini, IIT-CNR
  • Salvatore Orlando, University Cà Foscari of Venezia
  • Diego Romano, ICAR-CNR
  • Giandomenico Spezzano, ICAR-CNR
  • Massimo Torquati, University of Pisa
  • Paolo Trunfio, University of Calabria
  • Massimo Villari, University of Messina
  • Carmine Spagnuolo, Università degli Studi di Salerno