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--Apologies for multiple postings. Share this CFP with anyone you believe may be interested. --<br>
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AHPC3: The 2nd Workshop on Accelerated HPC in the Cloud-Edge Continuum<br>
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Affiliated with the 13th IEEE International Conference on Cloud Engineering (IC2E2025)<br>
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September 23-26, 2025, Rennes, France<br>
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Workshop site: <a href="http://ahpc3.di.unipi.it/">http://ahpc3.di.unipi.it/</a><br>
Conference site: <a href="https://conferences.computer.org/IC2E/2025/">https://conferences.computer.org/IC2E/2025/</a><br>
Submission site: <a href="http://ahpc3.di.unipi.it/submissions.html">http://ahpc3.di.unipi.it/submissions.html</a><br>
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Important Dates<br>
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- June 03, 2025: Submission of paper abstracts<br>
- June 16, 2025: Submission of short/regular papers<br>
- July 21, 2025: Notification to authors<br>
- July 31, 2025: Submission of camera-ready<br>
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Overview<br>
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We are witnessing an increasing demand for high-performance computing (HPC)<br>
infrastructures. Modern applications require processing of computationally intensive<br>
workloads, across diverse domains driven by AI/ML, federated learning, and data-intensive<br>
needs in distributed Cloud-Edge-HPC environments.<br>
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Traditional distinctions between HPC and cloud infrastructures are blurring as modern<br>
cloud and edge environments incorporate capabilities historically exclusive to HPC systems.<br>
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The AHPC3 workshop focuses on achieving HPC via Cloud-Edge architectures, promoting<br>
energy-efficient execution, green computing, and intelligent resource management.<br>
It explores the adaptation of technologies like serverless computing, microservices,<br>
and fine-grained task offloading for scalable and resilient HPC applications.<br>
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We welcome original contributions on programming paradigms, runtime systems, orchestration<br>
frameworks, efficient data management, fault tolerance, security, and sustainability<br>
in hybrid environments.<br>
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Topics of Interest<br>
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- Adaptation of cloud-edge technologies for HPC (e.g., serverless, microservices, task offloading)<br>
- Cloud-edge computing architectures for HPC (e.g., resource federation)<br>
- Lightweight virtualization, execution environments, and scheduling techniques<br>
- Orchestration and deployment of high-performance workflows<br>
- Programming paradigms for high-performance Cloud-Edge computing<br>
- Communication, data, and resource management in Cloud-Edge computing<br>
- Fault tolerance, reliability, and security<br>
- Data-intensive workloads and monitoring tools<br>
- Energy-efficient computing in Cloud-Edge environments<br>
- Accelerated computing (e.g., GPUs, AI/ML accelerators)<br>
- Network-aware optimization and data movement<br>
- Federated resource-sharing and learning<br>
- Novel orchestration algorithms for cloud/edge<br>
- ML/AI-based support for Cloud/Edge computing<br>
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Submissions and Attendance<br>
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Submission link: <a href="http://ahpc3.di.unipi.it/submissions.html">http://ahpc3.di.unipi.it/submissions.html</a><br>
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Accepted papers will be published in the conference proceedings. Submissions must be original<br>
and not under consideration elsewhere. Papers (5–9 pages) must follow IEEE conference format. <br>
At least one author must register and present the paper.<br>
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Organisers<br>
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- Luca Ferrucci, University of Pisa - <a href="mailto:luca.ferrucci@unipi.it">luca.ferrucci@unipi.it</a><br>
- Stefano Forti, University of Pisa - <a href="mailto:stefano.forti@unipi.it">stefano.forti@unipi.it</a><br>
- Valerio Besozzi, University of Pisa - <a href="mailto:valerio.besozzi@phd.unipi.it">valerio.besozzi@phd.unipi.it</a><br>
- Jacopo Massa, University of Pisa - <a href="mailto:jacopo.massa@di.unipi.it">jacopo.massa@di.unipi.it</a>
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