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
Location: TBD
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
TBD
Important Dates
- Paper Submission: March 20, 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.