WOCC'24: International Workshop on Converged Computing on Edge, Cloud, and HPC May 16, 2024, Hamburg, Germany To be held in conjunction with ISC'24: The International Conference on High Performance Computing

Workshop website: https://kth-scalab.github.io/events/wocc24

Submission webpage: https://easychair.org/conferences/?conf=wocc24

## 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. Such complex workflows are expected to require the coordinated use of supercomputers, cloud data centers, and edge-processing devices in an environment with shared characteristics. Providing a seamless environment that combines the best of these worlds leads to an era of Converged Computing.

Cloud computing is becoming a dominant market force, driving innovation in both hardware and the software needed to manage increasing system and workflow complexity. Cloud 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.

The Second Workshop on Converged Computing (WOCC'24) 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 aims to spark discussion between participants who are developing applications, algorithms, middleware, and infrastructure for converged environments.

## Topics of Interest

We encourage submission of 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

## Important Dates

Paper Submission: Mar 01, 2024 Author Notifications: Apr 01, 2024 Workshop day: May 16, 2024 Camera Ready: June 17, 2024, including Copyright Form

## Organization Co-chairs:

Ivy Peng (KTH Royal Institute of Technology, Sweden) Daniel Milroy (Lawrence Livermore National Laboratory, USA) Tapasya Patki (Lawrence Livermore National Laboratory, USA) Valeria Cardellini (Tor Vergata University of Rome, Italy)

## Program Committee:

Antony Chazapis (FORTH-ICS, Greece) Jakob Luettgau (UTK, USA) Manolis Marazakis (FORTH-ICS, Greece) Claudia Misale (IBM, USA) Nina Mujkanovic (HPE, Switzerland) Gabriele Russo Russo (Tor Vergata University of Rome, Italy) Rafael Tolosana-Calasanz (Universidad de Zaragoza, Spain) Nathan Tallent (Pacific Northwest National Laboratory, USA) Jae-Seung Yeom (Lawrence Livermore National Laboratory, USA)