[CFP] AHPC3 2027 – 4th Workshop on Accelerated HPC in the Cloud-Edge Continuum

Accelerated HPC in the Cloud-Edge Continuum (AHPC3)

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

IMPORTANT DATES

OVERVIEW

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

• 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

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

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

University of Pisa

• Luca Ferrucci – luca.ferrucci@unipi.it
• Stefano Forti – stefano.forti@unipi.it
• Jacopo Massa – jacopo.massa@di.unipi.it
• Valerio Besozzi – valerio.besozzi@phd.unipi.it
• Matteo Della Bartola – matteo.dellabartola@phd.unipi.it