AHPC3 2027

The 4th Workshop on Accelerated HPC in the Cloud-Edge Continuum

Affiliated with the 35th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
(PDP 2027)

Barcelona, Spain • 17-19 March, 2027

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 4th edition will be held in conjunction with PDP 2027, providing an excellent opportunity to share research findings and foster collaborations in this rapidly evolving field.

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 2027 Timeline

Submission of Paper Abstract
November 2, 2026
Submission of Short/Regular Papers
November 9, 2026
Author Notification
December 14, 2026
Camera Ready Due
January 25, 2027
Workshop Date
TBD. (Conference dates: March 17-19, 2027)

Organization

Organizing Committee

General Chair

Prof. Luca Ferrucci

University of Pisa, Italy

General Chair

Prof. Stefano Forti

University of Pisa, Italy

General Chair

Dr. Jacopo Massa

University of Pisa, Italy

Program Chair

Valerio Besozzi

University of Pisa, Italy

Program Chair

Matteo Della Bartola

University of Pisa, Italy

Program Committee

SongHee Kang

Tech University of Korea, South Korea

Andrea Michienzi

University of Pisa, Italy

Gabriele Russo Russo

Università degli Studi di Roma "Tor Vergata", Italy

Nishant Shaurab

University of Utrecht, Netherlands

Additional Program Committee members will be announced soon.

Submission

Paper Submission Guidelines

Submission Instructions

Submission System

TBA.

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 2027 conference proceedings and will be submitted to IEEE Xplore.