WOCC'26:

The 3rd International Workshop on HPC-Cloud Converged Computing

July 6, 2026, Belfast, Northern Ireland, UK

Introduction | Topics | Program | Dates | Organizers | Program Committee | Submission | Review | Previous Editions

Held in conjunction with ICS 2026: ACM International Conference on Supercomputing 2026

Date & Time: July 6, 2026, 09:00 - 12:30

Location: Room 5

Introduction

The landscape of scientific computing is changing rapidly as complex, multi-stage pipelined workflows that combine traditional HPC computations with large-scale data analytics and AI are becoming increasingly common. These next-generation workflows not only seek to improve the efficiency and scale of traditional HPC simulations, but additionally aim to apply large-scale and distributed computing to 6/domains with high societal impact such as autonomous vehicles, precision agriculture, or smart cities. Such complex workflows are expected to require the coordinated use of supercomputers and cloud data centers as well as edge-processing devices, leading to an era of Converged Computing that combines the best of these worlds.

Cloud computing technologies are gaining prevalence in HPC due to their benefits of resource dynamism, automation, reproducibility, and resilience. Similarly, HPC technologies for application performance optimization and sophisticated scheduling of complex resources are being integrated into modern cloud infrastructures. However, the convergence of HPC and cloud also raises a series of new challenges in areas of resource management, data transfers, storage and throughput. Modern cloud and HPC frameworks provide heterogeneous resources, including processors and accelerators, diverse types of memories and storage, and network links, to match the diversity in workloads. Similarly, cloud technologies for elasticity, resilience, and multi-tenancy need to be adopted in HPC while ensuring high performance and throughput. Converged software stacks will need to provide middleware and resource management to facilitate the use of heterogeneous hardware components, improve the system utilization, and provide seamless interfaces for users and application developers.

WOCC’26 will provide the edge, HPC and cloud communities a dedicated venue for discussing challenges and research opportunities, deployment efforts, and best practices in supporting complex workflows on coordinated use of supercomputers and cloud data centers as well as edge-processing devices. The workshop encourages interaction between participants who are developing applications, algorithms, middleware and infrastructure for converged environments. The workshop will be an ideal place for the community to define the current state-of-the-art, identify fundamental challenges and feasible future technologies and techniques. The workshop aims to start discussion on questions, including:

What changes to architecture, hardware, and middleware designs (including hardware monitoring, the operating systems, system software, resource management) are needed?
How to monitor and collect system level metrics for utilization to identify bottlenecks to meet the different targets in performance, cost, power budget?
How to support different coupling patterns (e.g., loose or tight) between traditional scientific and big-data/AI components?
What complex workflows and workloads leverage heterogeneity, elasticity, dynamic resources provisioning?

Topics of Interest

We encourage works that are related to the following topics and accept other related topics.

Experience and best practice of converged computing of cloud, edge, and HPC
Resource and job management software
Architectures, networks, and storage
Software stack, middleware, and infrastructure
Advanced models for expressing system resources
Scheduling, resource allocation, and adaptation
Complex workflows including HPC, Machine-Learning, and Data Analytics components
Early results and evaluation of porting HPC applications to clouds
Elasticity and scalability amid resource heterogeneity
Virtualization, containers, container runtimes, and container orchestration frameworks
Scalable and elastic storage and I/O data management services and architectures
Resilience, fault tolerance, and reliability in converged computing environments
Early results of leveraging cloud techniques (e.g., Kubernetes, cloud databases) for HPC applications
System- and application-level resource monitoring and optimization techniques and tools

Program (Tentative)

8:00 - 9:00, Registration
9:00 - 9:05, Opening and Welcome
9:05 - 9:50, Keynote
- Speaker: Evgenia Smirni, Sidney P. Chockley Professor and Chair of Computer Science Department at the College of William and Mary, USA
- Title: The Paradigm Shift in Serverless Performance Prediction: From Analytical Models to Machine Learning
9:50 - 10:30, Invited Talk
- Speaker: Ivy Peng, Associate Professor of Computer Science, KTH, Sweden
- Title: Exploring Dynamic Memory Scaling of HPC workloads on Kubernetes: Lessons learned from Empirical to Reinforcement Learning approaches
- Abstract: HPC workloads often over-provision memory to guard against peak demand, leaving substantial memory capacity idle. Dynamic memory scaling is critical for improving memory utilization requires accurate prediction of workload needs. In this talk, we share our experience and lessons learnt from exploring both heuristics-based and reinforcement learning approaches to achieve vertical memory resource adaptivity for HPC workloads in containerized environments.
- Speaker’s Bio: Ivy Peng is an Associate Professor of Computer Science at KTH, where she leads the Scalable Computing Group (ScaLab), researching heterogeneous systems for parallel computing. Her current research focuses on hardware/software co-design to exploit novel accelerators and memory systems, as well as system software for the convergence of HPC and Cloud.
10:30 - 11:00, Coffee break
11:00 - 11:25, Paper Presentation
- Speaker: Dumo Ngwenya, The Open University, UK
- Title: Controlled Granularity Tuning for Log-Based Anomaly Detection in Converged HPC-Cloud Environments
11:25 - 11:50, Paper Presentation
- Speaker: Giannis Petsis, FORTH, Greece
- Title: Running Containers in HPC Inside Private, User-Level Network Overlays
11:50 - 12:30, Invited Talk
- Speaker: Thierry Goubier, Research Engineer, CEA, France
- Title: Interactive and Urgent HPC: Challenges and Opportunities

Important Dates

Paper Submission: ~~March 20, 2026~~ extended to March 31, 2026
Author Notifications: April 21, 2026
Workshop Day: July 6, 2026
Camera Ready: May 6, 2026

Organizers

Daniel Milroy, Lawrence Livermore National Laboratory, USA
Tapasya Patki, Lawrence Livermore National Laboratory, USA
Valeria Cardellini, Tor Vergata University of Rome, Italy
Antony Chazapis, FORTH-ICS, Greece

Program Committee

Claudia Misale, CoreWeave, USA
Jae-Seung Yeom, Lawrence Livermore National Laboratory, USA
Rafael Tolosana-Calasanz, Universidad de Zaragoza, Spain
Nathan Tallent, Pacific Northwest National Laboratory, USA
Gabriele Russo Russo, Tor Vergata University of Rome, Italy
Manolis Marazakis, FORTH-ICS, Greece
Yoonho Park, IBM, USA

Submission

Submission is open now! Please submit your manuscript through EasyChair.

We invite original works in either short paper (6 pages) or long paper (8 pages), excluding references. Accepted papers will be published in the ACM proceedings. Have in mind that ACM’s Publications Policies apply to all submitted papers, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper.

Review Process

Each paper is expected to receive a minimum of 3 reviews. Double-blind peer-review will be used. Papers will be evaluated based on novelty, technical soundness, clarity of presentation, and impact. The Technical Program Committee reserves the right to reject incorrectly formatted papers.