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://bighpc2026.di.unipi.it 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 Full Papers (10–12 pages, LNCS format) Original, unpublished research contributions Must not be under review elsewhere Accepted papers will be published in the Euro-Par 2026 Workshop Proceedings (Springer LNCS)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://easychair.org/conferences/?conf=europar2026workshops 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) - ********************************************************************************************* 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://www.massimocafaro.it Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro@unisalento.it E-mail cafaro@ieee.org E-mail cafaro@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@cmcc.it Weiler’s Law: Nothing is impossible for the man who doesn’t have to do it himself. ********************************************************************************************** -- ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. 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