[hpc-announce] BigHPC 2026 CfP

Thu Apr 9 09:59:47 CDT 2026

BigHPC 2026

The 4th Workshop on Big Data and High-Performance Computing
Held in conjunction with Euro-Par 2026
August 24–25, 2026, Pisa, Italy

https://urldefense.us/v3/__https://bighpc2026.di.unipi.it__;!!G_uCfscf7eWS!YkbeOJ87hNvUX-vpvHGNfYQdYv9dvf2MXgywtFRwXLjh7PFJzLV17PLWRy1JhjzsxMTutKdTkucYl-SKybcf_KjcHI0VQPV4VPE8$ 

Call for Papers

The BigHPC 2026 Workshop represents a forum for researchers, practitioners, and industry experts working at the crossroads of High-Performance Computing (HPC), Big Data, Artificial Intelligence, and heterogeneous computing infrastructures.
As data- and AI-driven workloads increasingly dominate modern computing, the traditional boundaries between HPC, cloud, and edge systems are rapidly dissolving. Future platforms must confront fundamental challenges such as data movement at scale, complex storage hierarchies, data locality, energy efficiency, and end-to-end performance optimization across highly heterogeneous environments.
BigHPC 2026 aims to foster discussion on end-to-end data/AI/HPC pipelines, from algorithms and runtime systems to architectures and applications, with a strong emphasis on real-world systems, reproducible performance evaluation, and cross-layer integration.
In addition to mature research contributions, the workshop explicitly encourages early-stage ideas, system reports, and industrial experience papers, providing a dynamic venue for exchanging novel concepts, lessons learned, and forward-looking visions.

Topics of Interest

Topics of interest include, but are not limited to:

- HPC architectures and system software for big data and AI workloads
- Parallel and distributed algorithms for data-intensive computing
- High-performance storage systems, I/O stacks, and data placement strategies
- Data locality, data gravity, and memory hierarchy challenges
- Performance modeling, profiling, and optimization of data and AI pipelines
- AI/ML systems on HPC platforms: distributed training, inference, and workflows
- Integration of HPC with cloud and edge infrastructures
- Workflow management and orchestration across heterogeneous environments
- Energy efficiency, sustainability, and performance-per-watt in large-scale systems
- Hybrid classical–quantum workflows and quantum approaches for data-intensive computing (where relevant)

Submission Types

BigHPC 2026 accepts two types of contributions:

1.   Full Papers (10–12 pages, LNCS format) 
     Original, unpublished research contributions
     Must not be under review elsewhere
     Accepted papers will be published in the Euro-Par 2026 Workshop Proceedings (Springer LNCS)
     Submissions must comply with LNCS formatting guidelines

2.   Extended Abstracts – Paperless Contributions with Oral Presentation
     Work in progress, emerging ideas, system descriptions, or industrial experience
     May include previously published or ongoing work
     Extended abstracts (6–G pages)
     Accepted contributions will be presented at the workshop but will not appear in the LNCS proceedings

Submission site: EasyChair https://urldefense.us/v3/__https://easychair.org/conferences/?conf=europar2026workshops__;!!G_uCfscf7eWS!YkbeOJ87hNvUX-vpvHGNfYQdYv9dvf2MXgywtFRwXLjh7PFJzLV17PLWRy1JhjzsxMTutKdTkucYl-SKybcf_KjcHI0VQMHZckTl$ 

Important Dates (Anywhere on Earth – AoE)

Full Paper Submission Deadline: May 15, 2026
Extended Abstract / Paperless Deadline: May 29, 2026
Author Notification: June 12, 2026
Late Extended Abstract Deadline: June 19, 2026 (fast-track review)
Camera-Ready Deadline (full papers only): July 10, 2026
Workshop Dates: August 24–25, 2026

Organization
Workshop Chairs

Massimo Cafaro, University of Salento, Italy
Beniamino Di Martino, University of Campania, Italy
William Fornaciari, Politecnico di Milano, Italy

Steering Committee

Patrizio Dazzi (Chair), University of Pisa
Marco Aldinucci, University of Turin
Beniamino Di Martino, University of Campania
William Fornaciari, Politecnico di Milano
Marco Lapegna, University of Naples
Rajaele Montella, University of Naples “Parthenope”
Domenico Talia, University of Calabria
Alessia Antelmi, University of Turin
Emanuele Carlini, ISTI-CNR
Program Committee
Michele Amoretti (University of Parma)
Mario Bifulco (University of Turin)
Robert Birke (University of Turin)
Alessandro Celestini (IAC-CNR)
Claudio Cicconetti (IIT-CNR)
Biagio Cosenza (University of Salerno)
Daniele D’Agostino (University of Genova)
Andrea D’Urbano (University of Salento)
Daniele De Vinco (University of Salerno)
Diana Di Luccio (University of Naples “Parthenope”)
Italo Epicoco (University of Salento)
Sandro Luigi Fiore (University of Trento)
Roberto Giorgi (University of Siena)
Flavio Lombardi (IAC-CNR)
Jacopo Massa (University of Pisa)
Doriana Medic (University of Turin)
Diego Romano (ICAR-CNR)
Marco Pulimeno (University of Salento)
Luca Roversi (University of Turin)
Fabrizio Silvestri (Sapienza University of Rome)
Massimo Torquati (University of Pisa)
Paolo Trunfio (University of Calabria)

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Prof.  Massimo Cafaro, Ph.D.
Associate Professor of Parallel Algorithms and Data Mining/Machine Learning     

Head of the HPC (High Performance Computing) Lab
Head of the AIMA Lab (Artificial Intelligence Models and Algorithms) 

 Department of Engineering for Innovation            
 University of Salento, Lecce, Italy              
 Via per Monteroni                                                   
 73100 Lecce, Italy 

 Voice/Fax  +39 0832 297371  

 Web   https://urldefense.us/v3/__https://www.massimocafaro.it__;!!G_uCfscf7eWS!YkbeOJ87hNvUX-vpvHGNfYQdYv9dvf2MXgywtFRwXLjh7PFJzLV17PLWRy1JhjzsxMTutKdTkucYl-SKybcf_KjcHI0VQMxnIUP1$    
 Web   https://urldefense.us/v3/__https://www.unisalento.it/people/massimo.cafaro__;!!G_uCfscf7eWS!YkbeOJ87hNvUX-vpvHGNfYQdYv9dvf2MXgywtFRwXLjh7PFJzLV17PLWRy1JhjzsxMTutKdTkucYl-SKybcf_KjcHI0VQNqiWaQR$       

 E-mail massimo.cafaro at unisalento.it
 E-mail cafaro at ieee.org
 E-mail cafaro at acm.org

INGV
National Institute of Geophysics and Volcanology
Via di Vigna Murata 605
Roma

 CMCC Foundation
 Euro-Mediterranean Center on Climate Change
 Via Augusto Imperatore, 16 - 73100 Lecce
 massimo.cafaro at cmcc.it

Weiler’s Law: Nothing is impossible for the man who doesn’t have to do it himself.

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