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 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).

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• Original, unpublished research contributions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
• 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 (6–9 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