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AHPC3 2026: 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 )

 

March 17-19, 2027 | Barcelona, Spain

Workshop site: https://ahpc3.di.unipi.it/

Conference site: https://www.pdp2027.org/

Submission site: https://ahpc3.di.unipi.it/2027#submission

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IMPORTANT DATES

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- November 02, 2026: Submission of paper abstracts

- November 09, 2026: Submission of short/regular papers

- December 14, 2026: Notification to authors

- January 25, 2027: 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 support and scale HPC

applications. Key topics include lightweight virtualization, 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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- Accelerated computing architectures for HPC in the Cloud-Edge continuum, including GPUs, FPGAs, AI/ML accelerators, and heterogeneous computing platforms

- Cloud-Edge architectures and resource federation for HPC, including hybrid HPC environments and federated resource sharing

- Cloud-native technologies and execution models for HPC, including serverless computing, microservices, and task offloading

- Lightweight virtualization and execution environments, including WebAssembly, unikernels, containers, and microVMs

- Orchestration, deployment, scheduling, and resource allocation for HPC workflows across the Cloud-Edge continuum

- Programming paradigms, models, and runtime systems for High-Performance Cloud-Edge computing

- Communication, data management, stream processing, and data-intensive workloads in Cloud-Edge environments

- Heterogeneous resource management, monitoring, and observability for HPC Cloud-Edge applications

- Fault tolerance, reliability, security, and resilience across the Cloud-Edge continuum

- Sustainable and energy-efficient HPC across Cloud, Edge, and HPC infrastructures

- Federated and distributed AI/ML, including federated learning in the Cloud-Edge continuum

- AI/ML-driven techniques for resource management, scheduling, and orchestration

 

SUBMISSION

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LINK: https://ahpc3.di.unipi.it/2027#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 - address@concealed (General Chair)

- Stefano Forti - address@concealed  (General Chair)

- Jacopo Massa - address@concealed  (General Chair)

- Valerio Besozzi - address@concealed (Program Chair)

- Matteo Della Bartola - address@concealed (Web Chair)