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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 )

March 25-27, 2026, Cluj-Napoca, Romania

Workshop site: http://ahpc3.di.unipi.it/
Conference site: https://www.pdp2026.org/
Submission site: http://ahpc3.di.unipi.it/2026/#submission
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IMPORTANT DATES
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- October 30, 2025: Submission of paper abstracts
- November 11, 2025: Submission of short/regular papers
- December 16, 2025: Notification to authors
- January 25, 2026: Submission of camera-ready


OVERVIEW
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This workshop explores the convergence of high-performance computing (HPC) and
modern cloud-edge architectures. With HPC demand expanding across many domains
and the boundaries between HPC and cloud blurring, the aim is to examine how
cloud and edge technologies - such as serverless computing, microservices and
load balancers - can be adapted to efficiently and scalably support HPC
applications. Key topics include lightweight virtualisation, dynamic execution
environments, advanced scheduling, orchestration, data management, fault
tolerance, security and monitoring. Special focus is given to sustainability
through green computing and intelligent resource management. Contributions on
hardware acceleration (FPGA/GPU), hybrid resource management and innovations in
continuous cloud-edge and hybrid HPC environments are welcome.


TOPICS
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- Adaptation of cloud-edge technologies and methodologies for HPC (e.g.,
serverless, microservices, task offloading)
- Cloud-edge computing architectures for HPC (e.g., resource federation )
- Lightweight virtualization tools and execution environments (e.g., WebAssembly, unikernels, and microVM)
- Orchestration, deployment techniques, algorithms, and scheduling for High-
performance workflows in Cloud-Edge environments
- Programming paradigms for High Performance Cloud-Edge computing
- Communication and Data management for Cloud-Edge computing
- Fault tolerance, reliability and security in the Cloud-Edge continuum
- Data-intensive workloads and tools
- Methodologies and tools for heterogeneous resource management
- Tools and techniques for monitoring HPC Cloud-Edge applications
- Sustainable and energy-efficient computing for HPC in the cloud-edge continuum
- Accelerated computing architectures for cloud-edge environments (e.g., GPU-
based execution, hardware accelerators for AI/ML)
- Data stream processing with FPGA/GPU in cloud-edge computing
- Federated resource-sharing mechanisms for hybrid HPC environments.
- Federated learning in the Cloud/Edge Continuum
- Novel and efficient techniques and algorithms for Cloud/Edge orchestration
- ML/AI based algorithms to support Cloud/Edge computing


SUBMISSION
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LINK: http://ahpc3.di.unipi.it/2026/#submission

Accepted papers will be published in the conference proceedings.
Submissions must be original and not under consideration elsewhere.
All submissions will be subject to a double-blind review process.
Papers (regular: max 8 pages, short: max 4 pages) must follow IEEE conference format.
At least one author must register and present the paper.

SPECIAL ISSUE
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Authors of outstanding research papers will be invited by the workshop chairs
to submit an extended version of their work to a special issue of a journal.
Further details will be provided following the workshop.


ORGANISERS (all from University of Pisa)
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- Luca Ferrucci - luca.ferrucci@unipi.it (General Chair)
- Stefano Forti - stefano.forti@unipi.it (General Chair)
- Valerio Besozzi - valerio.besozzi@phd.unipi.it (Program Chair)
- Jacopo Massa - jacopo.massa@di.unipi.it (Program Chair)
- Matteo Della Bartola - matteo.dellabartola@di.unipi.it (Web Chair)