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AHPC3 2025: The 2nd Workshop on Accelerated HPC in the Cloud-Edge Continuum

Affiliated with the 13th IEEE International Conference on Cloud Engineering (IC2E2025)

September 23-26, 2025 Rennes, France
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Important Dates
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- June 03, 2025: Submission of paper abstracts
- June 16, 2025: Submission of short/regular papers
- July 21, 2025: Notification to authors
- July 31, 2025: Submission of camera-ready

Overview
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We are witnessing an increasing demand for high-performance computing (HPC)
infrastructures. Modern applications require processing of computationally intensive
workloads, across diverse domains driven by AI/ML, federated learning, and data-intensive
needs in distributed Cloud-Edge-HPC environments.

Traditional distinctions between HPC and cloud infrastructures are blurring as modern
cloud and edge environments incorporate capabilities historically exclusive to HPC systems.

The AHPC3 workshop focuses on achieving HPC via Cloud-Edge architectures, promoting
energy-efficient execution, green computing, and intelligent resource management.
It explores adaptation of technologies like serverless computing, microservices,
and fine-grained task offloading for scalable and resilient HPC applications.

We welcome original contributions on programming paradigms, runtime systems, orchestration
frameworks, efficient data management, fault tolerance, security, and sustainability
in hybrid environments.

Topics of Interest
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- Adaptation of cloud-edge technologies for HPC (e.g., serverless, microservices, task offloading)
- Cloud-edge computing architectures for HPC (e.g., resource federation)
- Lightweight virtualization, execution environments, and scheduling techniques
- Orchestration and deployment of high-performance workflows
- Programming paradigms for high-performance Cloud-Edge computing
- Communication, data, and resource management in Cloud-Edge computing
- Fault tolerance, reliability, and security
- Data-intensive workloads and monitoring tools
- Energy-efficient computing in Cloud-Edge environments
- Accelerated computing (e.g., GPUs, AI/ML accelerators)
- Network-aware optimization and data movement
- Federated resource-sharing and learning
- Novel orchestration algorithms for cloud/edge
- ML/AI-based support for Cloud/Edge computing

Submissions and Attendance
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Submission link: http://ahpc3.di.unipi.it/submissions.html

Accepted papers will be published in the conference proceedings. Submissions must be original
and not under consideration elsewhere. Papers (5–9 pages) must follow IEEE conference format.
At least one author must register and present the paper.

Organisers
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- Luca Ferrucci, University of Pisa - luca.ferrucci@unipi.it
- Stefano Forti, University of Pisa - stefano.forti@unipi.it
- Valerio Besozzi, University of Pisa - valerio.besozzi@phd.unipi.it
- Jacopo Massa, University of Pisa - jacopo.massa@di.unipi.it