[hpc-announce] [CFP] International Workshop on Converged Computing of Cloud, HPC and Edge (WOCC'23) at ISC'23

[Ivy Peng]

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.


The International Workshop on Converged Computing* (**WOCC’23*
<https://kth-scalab.github.io/events/wocc23.html>*) *co-located with ISC'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 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?


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 at
*https://easychair.org/conferences/?conf=wocc23*
<https://easychair.org/conferences/?conf=wocc23>. Papers are required to be
formatted according to the ISC research papers guidelines using LNCS
style *(see
details <https://kth-scalab.github.io/events/wocc23.html#submission>)*


=== 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 – March 25, 2023

Author Notifications – April 10, 2023

WOCC23 workshop - May 25, 2023, Hamburg, Germany

Camera Ready Papers – June 10, 2023, including Copyright Form


=== Program Committee ===

Andrew Younge, Sandia National Laboratory, USA

Bill Magro, Google, USA

Jeff Vetter, Oak Ridge National Laboratory, USA

Martin Schulz, Technische Universität München, Germany

Jae-Seung Yeom, Lawrence Livermore National Laboratory, USA

Nathan Tallent, Pacific Northwest National Laboratory, USA

Jesus Carretero, Universidad Carlos III de Madrid, Spain

Domenico Talia, University of Calabria, Italy

Estela Suarez, Juelich 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


=== Review Process ===

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


=== Workshop Organizers ===

Ivy Peng (KTH Royal Institute of Technology, Sweden)

Tapasya Patki (Lawrence Livermore National Laboratory, USA)

Daniel Milroy (Lawrence Livermore National Laboratory, USA)