| Vol-4124 urn:nbn:de:0074-4124-x Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# BigHPC 2025
Big Data and High-Performance Computing 2025

### Proceedings of the 3rd Special Track on Big Data and High-Performance Computing (BigHPC 2025)
co-located with the 4th Italian Conference on Big Data and Data Science (ITADATA 2025)

### Turin, Italy, September 9-11, 2025.

Edited by

### Alessia Antelmi 1
Massimo Cafaro 2
Italo Epicoco 2
Marco Pulimeno 2

1 Università degli Studi di Torino, Department of Computer Science, Turin, Italy
2 Università del Salento, Department of Engineering for Innovation, Lecce, Italy

## Table of Contents

- Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 5 as regular papers and 2 as short papers.

### Keynote Talk and Panel

- Beyond Performance: Software Approaches for Energy-Efficient HPC
  Biagio Cosenza
- Panel: What's Next for BigHPC? Parallel, Distributed, and Quantum Horizons
  Claudio Cicconetti, Biagio Cosenza, Sandro Fiore

### Regular Papers

- dqsweep: Parameter Sweeps for Benchmarking Distributed Quantum Computing Applications 1-11
  Quang-Phong Tran, Claudio Cicconetti, Marco Conti, Andrea Passarella
- Hiding Latencies in Network-Based Image Loading for Deep Learning 1-13
  Francesco Versaci, Giovanni Busonera
- The Impact of ECS Logic on Parallel Performance in Agent-based Model Simulations 1-10
  Antonio Ambrosio, Daniele De Vinco, Francesco Foglia, Carmine Spagnuolo, Vittorio Scarano
- The Quantum Bottleneck: An Analysis of Data Balancing in QML for Security 1-10
  Mansur Ziiatdinov, Salvatore Distefano
- Federated Learning for Distributed Weather Forecasting: A Practical Approach on Real Multidimensional Georeferenced Data 1-10
  Attilio Di Vicino, Giuseppe Fiorillo, Luigi Galluccio, Raffaele Montella

### Short Papers

- Exploring an implementation of quantum learning pipeline for support vector machines 1-6
  Mario Bifulco, Luca Roversi
- Benchmarking Federated Learning Frameworks' Scalability 1-5
  Gianluca Mittone, Samuele Fonio, Robert Birke, Marco Aldinucci

2025-09-30: submitted by Alessia Antelmi, metadata incl. bibliographic data published under Creative Commons CC0
2025-12-11: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|