High-Performance Computing at the Edge: Enabling Real-Time Applications in the Computing Continuum (HPC@Edge)
HPC@Edge website:
Aims and Scope
Edge Computing is a critical layer in the Computing Continuum infrastructure, rapidly emerging as a transformative distributed technology able to process data closer to the collection point, at the edge of the network. This approach enables highly distributed, real-time applications across large geographic areas, opening new possibilities for applications that require low latency, rapid decision-making, and real-time responses.
Recently, the development of high-performance, low-power computing devices has significantly advanced the capabilities of edge computing. These devices thightly integrate advanced computing units with controllers for sensors and actuators, enabling edge nodes to perform complex computations locally, reducing the need for centralized cloud processing. The main feature of these devices is their very low-power consumption of just a few Watts, resulting in a reduced processing capability that is not comparable to that of high-end systems. This makes it essential to define strategies and methodologies to effectively strike a trade-off between high-performance computing and low-energy consumption.
This workshop will explore the challenges and strategies for optimizing performance at the edge while maintaining energy efficiency, focusing on how these emerging devices can support real-time, distributed applications in diverse fields. By addressing the limitations and opportunities of current edge computing technologies, we aim to create a collaborative forum where researchers and practitioners can exchange ideas, discuss recent advancements, and explore new methodologies for maximizing the potential of edge computing. We invite all interested scholars to submit their contributions, including research papers, case studies, and practical applications.
Topics of interest include (not limited to) the following:
We focus on contributions covering various topics related to methodologies, software tools and case studies addressing the challenges for deploying highly responsive distributed applications at the edge of the network with a special attention to the energy consumption. Topics of interest include but are not limited to the following
- Trade-off models for low-power consumption and high-performance computing
- HPC systems and frameworks for edge environments
- Real-time data processing and analysis at the edge
- Edge-to-cloud hybrid computing models for Continuous Computing pipelines
- Performance benchmarking and evaluation of edge devices in real-time applications
- Innovative and low-power HPC computing devices
- Model adaptations techniques for limited-resources devices
- Energy aware algorithms and applications on low power devices
- Integration of Cloud/Fog/Edge computing techniques and software tools
Important dates
Paper submission: November 16-30, 2025
Author notification: December 22, 2025
Camera ready: January 25, 2026
Submission guidelines
Authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) and follow format guidelines found at https://www.ieee.org/conferences/publishing/templates.html.
For submission, please refer to the Easychair submission system as indicated in the Main Conference webpage, and make sure that you select the “High-Performance Computing at the Edge: Enabling Real-Time Applications in the Computing Continuum (HPC@Edge)” track.
Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as “omitted for blind review” entries.
Chairs
Marco Lapegna – University of Naples Federico II, Italy (contact: marco.lapegna@unina.it)
Diego Romano, Italian National Research Council, Italy
Raffaele Montella, University of Naples Parthenope, Italy
Program Committee
Giuliano Laccetti, University of Naples Federico II, Italy
Raffaele Montella, University of Napoli “Parthenope”, Italy
Diana di Luccio, University of Napoli “Parthenope”, Italy
Antonino Galletta, University of Messina, Italy
Valeria Mele, University of Naples Federico II, Italy
Lukas Szustak, Czestochowa University of Technology, Poland
Roman Wyrzykowski, Czestochowa University of Technology, Poland