BigHPC2024 - ITADATA24

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.

Call

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 and Green 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 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 "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.

We are also thrilled to announce that BigHPC24 will feature a Special Issue in the journal Future Generation Computer Systems, titled Large-scale HPC Approaches and Applications on Highly Distributed Platforms (link). Authors of accepted original research papers—whether full papers or innovative extended abstracts—will be invited to submit an extended version of their work for evaluation.