AHPC3 2026

The 3rd Workshop on Accelerated HPC in the Cloud-Edge Continuum

Affiliated with the 34th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP 2026)

Submit Paper Important Dates

About the Workshop

Accelerating HPC in the Cloud-Edge Continuum

The Accelerated HPC in the Cloud-Edge Continuum (AHPC3) workshop is a leading forum for presenting the latest advances in the convergence of high-performance computing (HPC) with cloud-edge continuum architectures. AHPC3 focuses on innovative solutions for sustainable, energy-efficient, and intelligent execution of data-intensive and AI-driven workloads across heterogeneous infrastructures, promoting dynamic orchestration, network-aware optimizations, and federated learning across distributed environments.

This 3rd edition will be held in conjunction with PDP 2026, providing an excellent opportunity to share research findings and foster collaborations in this rapidly evolving field.

Call for Papers

Download & Resources

Call for Paper

PDF

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Call for Paper

TXT

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Topics of Interest

Research Areas

Cloud-Edge Architectures & Virtualization

Design and evaluation of novel architectures and lightweight execution environments (e.g., microservices, unikernels, WebAssembly, microVMs) to enable scalable and efficient HPC in the Cloud-Edge continuum.

Orchestration & Resource Management

Techniques for orchestration, deployment, and scheduling of HPC workflows across federated Cloud-Edge infrastructures; methodologies for heterogeneous resource management and efficient workload allocation.

Programming Paradigms & Data Management

New programming models and paradigms for Cloud-Edge HPC; advanced mechanisms for communication, data handling, and workflow management in distributed environments.

Reliability, Security & Sustainability

Fault-tolerance, reliability, and security in Cloud-Edge HPC systems; strategies for sustainable, energy-efficient, and environmentally aware distributed computing.

Accelerated & Data-Intensive Computing

Exploiting GPUs, FPGAs, and specialized accelerators for HPC in Cloud-Edge environments; support for data-intensive workloads, data stream processing, and benchmarking at scale.

AI/ML & Federated Approaches

Integration of AI/ML techniques for optimization, orchestration, and performance tuning; federated resource sharing and federated learning across hybrid Cloud-Edge HPC environments.

Important Dates

Deadlines

AHPC3 2026 Timeline

Submission of Paper Abstract
November 6, 2025 November 27, 2025 (EXTENDED)
Submission of Short/Regular Papers
November 18, 2025 December 4, 2025 (EXTENDED)
Author Notification
December 16, 2025 January 6, 2026 (EXTENDED)
Camera Ready Due
January 20, 2026

Organization

Organizing Committee

Prof. Luca Ferrucci

University of Pisa, Italy

General Chair

Prof. Stefano Forti

University of Pisa, Italy

General Chair

Valerio Besozzi

University of Pisa, Italy

Program Chair

Jacopo Massa

University of Pisa, Italy

Program Chair

Matteo Della Bartola

University of Pisa, Italy

Web Chair

Program Committee

Jörn Altmann

Seoul National University, South Korea

Hojjat Baghban

Chang Gung University, Taiwan

Roberto Casadei

University of Bologna, Italy

Emanuele Carlini

ISTI-CNR, Italy

Massimo Coppola

ISTI-CNR, Italy

Patrizio Dazzi

University of Pisa, Italy

Karim Djemame

University of Leeds, UK

SongHee Kang

Tech University of Korea, South Korea

Ioannis Kontopoulos

ICCS-NTUA, Greece

Isaac Lera

University of Balearic Islands, Spain

Andrea Michienzi

University of Pisa, Italy

Matteo Mordacchini

IIT-CNR, Italy

Paolo Palazzari

ENEA, Italy

Gabriele Russo Russo

Università degli Studi di Roma "Tor Vergata", Italy

Nishant Shaurab

University of Utrecht, Netherlands

José Luis Vázquez-Poletti

Universidad Complutense de Madrid, Spain

Submission

Paper Submission Guidelines

Submission Instructions

Submission System

EasyChair track.
N.B. Select the “Accelerated HPC in the Cloud edge Continuum” track when submitting your paper.

Paper Format

Submissions must be in PDF format and formatted according to the IEEE conference proceedings format (double-column, 10pt font).

Page Limits (including references)

Regular papers (8 pages)
Short papers (4 pages)

Review Process

All submissions will be peer-reviewed by at least three members of the program committee.
Reviews will be double-blind, so authors should ensure that their identity is not revealed in the paper.

Publication

Accepted papers will be published in the PDP 2026 conference proceedings and will be submitted to IEEE Xplore.