BigHPC2025 - ITADATA25

BigHPC2025: Special Track on Big Data and High-Performance Computing

Following the success of the last two editions, BigHPC is back! The Special Track about Big Data and High-Performance Computing (BigHPC2025) is held alongside the Italian Conference on Big Data and Data Science (ITADATA2025) to highlight the enabling technologies for data science, including parallel, distributed, network-based, and quantum computing.

BigHPC2025 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.

Call

Contributions are welcome from academia and industry, presenting research results on all theoretical and practical aspects standing at the intersection of HPC and big data as well as focuing on quantum computing paradigms. The event focuses on contributions to HPC and quantum 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:

HPC 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 and green HPC for big data
Hybrid classical-quantum computing: integration, benchmarking, and HPC-based emulation
Quantum algorithms for machine learning, optimization, and generative models
Quantum natural language processing and AI applications
Compilation, gate synthesis, and error correction in quantum systems
Post-quantum cryptography and security in the quantum era

BigHPC25 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 shall be submitted to CEUR-WS.org for online publication 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 "BigHPC" track using the ITADATA submission site. The contributions will be evaluated and selected based on their quality, originality, relevance, and timelines.

As last year, we are working to provide a journal special issue. Authors of the best accepted original research papers—whether full papers or innovative extended abstracts—will be invited to submit an extended version of their work for evaluation. The details will be announced soon.