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VHPC
HPC Virtualization | AI Containers

VHPC 2025

20th Workshop on Virtualization in High-Performance Cloud Computing

Co-located with Euro-Par 2025 • August 26, 2025 • Dresden, Germany

Submission Deadline: May 25, 2025 AoE (extended)

Rolling abstract submission

Submit Paper via EDAS

The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in HPC/Cloud scenarios in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems.

The workshop features paper presentations, discussion sessions, and lightning talks. Accepted papers will be published in a Springer LNCS volume.

Featured Keynote Tutorial

"Writing a hypervisor from scratch"

Join Seiya Nuta from Vercel Inc. for an hands-on tutorial covering fundamental concepts and practical implementation techniques for building virtualization infrastructure from the ground up.

"Hardware-assisted virtualization technologies like Intel VT and AMD SVM have long been viewed solely as mechanisms for running virtual machines. This talk challenges the preconception - it's actually a hardware-assisted try-catch mechanism, where the hypervisor effectively behaves as a 'catch' block for VM exits. Through this metaphor, we will revisit virtualization from scratch, explore recent virtualization-based applications, rethink what hardware-assisted virtualization is, and brainstorm what we could invent in the near future."

online  Zoom

Focus Topics

This year's special focus: Virtualization in support of high-memory LLM training workloads including:

  • GPU hypervisor memory virtualization: Techniques for virtualizing GPU memory to allow flexible and efficient allocation across multiple workloads
  • Flat CPU/GPU memory page tables/TLB: Unified virtual memory spaces and page table structures
  • Storage/filesystem to virtual memory mapped approaches
  • Distributed memory virtualization
  • Memory compression and reduction techniques: Approaches for compressing model parameters, activations, and gradients
  • Out-of-core training algorithms
  • Efficient memory allocation and management
  • Memory-efficient data formats and processing
  • Benchmarking and profiling tools
  • Case studies and applications in LLM training scenarios

In addition to regular topics:

  • Container Platforms (Kubernetes, Docker/Podman, Nitro/Firecracker, Singularity, …) and Unikernel Frameworks
  • Composable Lightweight Application Components and Lambda / Function-as-a-Service Paradigms
  • Latency Control, Warm/Cold-start issues and Data/Container Placement
  • Energy-efficiency and Service Orchestration in Virtualized Cloud & HPC Infrastructures

Overview

Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing.

Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization enables consolidation and live-migration capabilities; OS-level virtualization (containerization) promises many advantages with high performance; unikernels provide virtualization benefits with minimized OS/library surface. I/O virtualization, network virtualization, and storage virtualization continue to evolve to support increasingly demanding requirements.

Topics of Interest

The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and cloud computing.

Design / Architecture:

  • Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter)
  • Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.)
  • GPU hypervisor memory virtualization for LLM training workloads
  • Hypervisor extensions to mitigate side-channel attacks
  • Use of RISC-V related technologies for cloud, virtualized and HPC use-cases
  • VM & Container trust and security models
  • Multi-environment coupling, system software supporting in-situ analysis
  • Cloud reliability, fault-tolerance and high-availability
  • Cloud-based quantum compute services
  • Energy-efficient and power-aware virtualization
  • Virtualization support for emerging memory and storage technologies
  • Lightweight/specialized operating systems and Unikernels
  • ARM-based hypervisors and virtualization extensions

Management:

  • Container and VM management for HPC and cloud environments
  • Virtualized instances supporting Lambda / Function-as-a-Service (FaaS) Paradigms
  • HPC services integration and on-demand scheduling
  • Dedicated workload management with VMs or containers
  • Workflow coupling with VMs and containers
  • Unikernel and lightweight VM application management
  • Environments and tools for operating containerized environments
  • Models for non-HPC workload provisioning on HPC resources

Performance Measurements and Modeling:

  • Performance improvements for or driven by unikernels
  • Optimizations of virtual machine monitor platforms and hypervisors
  • Scalability analysis of VMs and/or containers at large scale
  • Performance measurement, modeling and monitoring of virtualized/cloud workloads
  • Virtualization in supercomputing environments, HPC clusters, HPC in the cloud
  • Energy-efficient deployment of high-performance workloads
  • Modeling and control of end-to-end performance for parallel & distributed applications

Configuration / Tooling:

  • Tool support for unikernels: configuration/build environments, debuggers, profilers
  • Job scheduling/control/policy and container placement
  • Measuring and controlling "OS/Virtualization noise"
  • Operating MPI in containers/VMs and Unikernels
  • GPU virtualization operationalization

Paper Submission & Publication

Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 points.

Accepted papers will be published in a Springer LNCS volume (SCOPUS indexed). The format must be according to the Springer LNCS Style. Camera-ready versions are allowed a maximum of 12 pages.

Lightning Talks

Lightning Talks are in a non-paper track, synoptical in nature and strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstracts via the main submission link.

Organization

Workshop Chairs

  • Michael Alexander (chair), Austrian Academy of Sciences
  • Anastassios Nanos (co-chair), Nubificus Ltd., UK

Tentative Technical Program Committee

  • Stergios Anastasiadis, University of Ioannina, Greece
  • Gabriele Ara, Scuola Superiore Sant'Anna, Italy
  • Jakob Blomer, CERN, Switzerland
  • Shyam Burkule, Meta, USA
  • Eduardo CĂ©sar, Universidad Autonoma de Barcelona, Spain
  • Anthony Chazapis, FORTH-ICS, Greece
  • Taylor Childers, Argonne National Laboratory, USA
  • François DiakhatĂ©, CEA DAM, France
  • Roberto Giorgi, University of Siena, Italy
  • Kyle Hale, Illinois Tech, USA
  • Giuseppe Lettieri, University of Pisa, Italy
  • Nikos Parlavantzas, IRISA, France
  • Amer Qouneh, Western New England University, USA
  • Carlos Reaño, Queen's University Belfast, UK
  • Riccardo Rocha, CERN, Switzerland
  • Lutz Schubert, University of Ulm, Germany
  • Jonathan Sparks, Cray, USA
  • Kurt Tutschku, Blekinge Institute of Technology, Sweden
  • John Walters, USC ISI, USA
  • Yasuhiro Watashiba, Osaka University, Japan
  • Chao-Tung Yang, Tunghai University, Taiwan