[hpc-announce] [CFP] ESSA 2025: 6th Workshop on Extreme-Scale Storage and Analysis

[Liem, Radita]

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       ESSA 2025 : 6th Workshop on Extreme-Scale Storage and Analysis
         Held in conjunction with IEEE IPDPS 2025 - June 4th, 2025

                https://sites.google.com/view/essa-2025/

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OVERVIEW:
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Advances in storage are becoming crucial as HPC and cloud systems handle
ever-increasing data, a trend expected to accelerate. For decades, parallel
file systems like Lustre and GPFS have seen few structural changes, with
limited integration of I/O support technologies that leverage hierarchical
storage layers, such as node-local burst buffers. Recently, however, there
has been a surge in innovations in data storage, processing systems, and I/O
support software for several key reasons:

  - Technology": The growing availability of persistent solid-state storage
and storage-class memory technologies, capable of replacing both memory and
disk, is opening up new possibilities for the design of storage systems.

  - Performance requirements: Disk-based parallel file systems are no longer
sufficient to meet the performance demands of high-end systems. However, the
optimal use of solid-state storage and storage-class memory to achieve the
required performance remains unclear. As a result, new approaches for
integrating these technologies into HPC systems are being actively developed
and evaluated.

  - Application evolution: Data analysis applications, such as graph
analytics and machine learning, are becoming increasingly critical in both
scientific and commercial computing. I/O often presents a major bottleneck
for these applications, particularly in cloud and HPC environments, where
rapid turnaround or the integration of intensive computation and analysis is
required. As a result, data storage, I/O, and processing demands are
evolving, driven by the emergence of complex workflows that integrate
computation, analytics, and learning.

  - Infrastructure evolution: In the future, HPC technology will extend
beyond dedicated supercomputing centers. Concepts such as “Embedded HPC,”
“HPC in a Box,” “HPC in the Loop,” “HPC in the Cloud,” “HPC as a Service,”
and “near-real-time simulation” will drive the need for new, small-scale HPC
deployment environments. To enable a seamless “computing continuum,” a
federation of systems and functions will be needed, with unified mechanisms
for managing I/O, storage, and data processing across all participating
systems.

  - Virtualization and disaggregation: As virtualization and disaggregation
become more widely adopted in cloud and HPC computing, the importance of
virtualized storage is growing. Increased efforts will be required to
understand its impact on performance.

Our goals for the ESSA Workshop are to bring together leading researchers
and developers in data-related fields—such as storage, I/O, processing, and
analytics—on extreme-scale infrastructures, including HPC systems, clouds,
edge systems, and hybrid combinations of these. We aim to discuss
advancements and potential solutions to the new challenges we encounter.

  - Extreme-scale storage systems for high-end HPC infrastructures, clouds,
or hybrid environments
  - Extreme-scale parallel distributed, storage architectures
  - Synergies between different storage models, including POSIX file
systems, object storage, key-value stores, and row- and column-oriented
databases
  - Structures and interfaces for leveraging persistent solid-state storage
and storage-class memory
  - High-performance I/O libraries and services
  - I/O performance in extreme-scale systems and applications (HPC, clouds,
edge)
  - Storage and data processing architectures for hybrid HPC/cloud/edge
infrastructures supporting complex workflows that integrate simulation and
analytics
  - Integrating computation within the memory and storage hierarchy to
facilitate in-situ & in-transit data processing
  - I/O characterization and data processing techniques for application
workloads in extreme-scale parallel and distributed machine learning and
deep learning
  - Tools and techniques for managing data movement among compute and
data-intensive components
  - Data reduction and compression methods
  - Failure management and recovery strategies for extreme-scale storage
systems
  - Benchmarks and performance tools for extreme-scale I/O
  - Language and library support for data-centric computing
  - Storage virtualization and disaggregation
  - Ephemeral storage media and consistency optimizations
  - Storage architectures and systems for scalable stream-based processing
  - Case studies of I/O services and data processing architectures across
various application domains (e.g., scientific simulations, experimental
facilities, large observatories, bioinformatics, etc.)

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SUBMISSIONS:
============

The workshop will accept traditional research papers (8 pages) for in-depth
topics and short papers (5 pages) for work in progress on hot topics. Papers
should present original research and provide sufficient background material
to make them accessible to the broader community.

Paper format:  single-spaced double-column pages using 10-point size font on
8.5x11 inch pages (IEEE conference style), including figures, tables, and
references. The submitted manuscripts should include author names and
affiliations. The IEEE conference style templates for MS Word and LaTeX
provided by IEEE eXpress Conference Publishing are available here:
https://www.ieee.org/conferences/publishing/templates.html

Submission site:
https://ssl.linklings.net/conferences/ipdps/

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IMPORTANT DATES:
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- Paper submission deadline: January 26th, 2025 
- Acceptance notification: February 21st, 2025 
- Camera-ready deadline: March 6th, 2025 
- Workshop date: June 4th, 2025

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WORKSHOP CHAIRS:
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Sarah Neuwirth, Johannes Gutenberg University Mainz, Germany - Chair -
neuwirth at uni-mainz.de 
François Tessier, Inria, France  - Co-Chair - francois.tessier at inria.fr

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PROGRAM CHAIRS:
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Chen Wang, Lawrence Livermore National Laboratory, USA - Chair -
wang116 at llnl.gov 
Lipeng Wan, Georgia State University, USA - Co-Chair - lwan at gsu.edu

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WEB & PUBLICITY CHAIR:
======================

Radita Liem, RWTH Aachen University, Germany - Chair -
liem at itc.rwth-aachen.de 

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STEERING COMMITTEE:
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Gabriel Antoniu , Inria, Rennes, France     
Franck Cappello, Argonne National Laboratory, USA
Toni Cortés, Barcelona Supercomputing Center, Spain
Kathryn Mohror, Lawrence Livermore National Laboratory, USA
Kento Sato, RIKEN, Japan
Marc Snir, University of Illinois at Urbana-Champaign, USA
Weikuan Yu, Florida State University, USA


Thanks,
Radita