The International Workshop on Converged Computing (WOCC’23) 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. 

We invite both short paper (8 pages single column) and long paper (12 pages single column) of original works. Accepted papers are expected to be presented during the workshop and will be included in the post-conference proceedings in Springer’s Lecture Notes in Computer Science (LNCS). Papers should be submitted through the EasyChair online system. Papers are required to be formatted according to the ISC research papers guidelines using LNCS style (submission details)

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

Committees

Program Committee

• Jae-Seung Yeom, Lawrence Livermore National Laboratory, USA
• Andrew Younge, Sandia National Laboratory, USA
• Jeff Vetter, Oak Ridge National Laboratory, USA
• Nathan Tallent, Pacific Northwest National Laboratory, USA
• Bill Magro, Google, USA
• Martin Schulz, Technische Universität München, Germany
• Jesus Carretero, Universidad Carlos III de Madrid, Spain
• Domenico Talia, University of Calabria, Italy
• Estela Suarez, Julich Supercomputing Centre, Germany
• Erwin Laure, Max Planck Computing and Data Facility, Germany
• Jakob Luettgau, University of Tennessee Knoxville, USA
• Kento Sato, Riken, Japan
• Claudia Misale, IBM, USA
• Yoonho Park, IBM, USA

Organizing committee

• Ivy Peng (KTH Royal Institute of Technology, Sweden)
• Tapasya Patki (Lawrence Livermore National Laboratory, USA)
• Daniel Milroy (Lawrence Livermore National Laboratory, USA)

Contact

All questions about submissions should be emailed to ipeng@acm.org