[Ieee_vis] Call for Papers: ISAV 2024 @ SuperComputing 2024

[Earl Duque]

CALL FOR PAPERS

ISAV 2024: In Situ Infrastructures for Enabling Extreme-scale Analysis and
Visualization

Held in conjunction with SC24: The International Conference on High
Performance Computing, Networking, Storage, and Analysis.

Half-day: Sunday, 17 November 2024,
2 pm - 5:30 pm EDT

Location: TBD
Workshop web page: https://isav-workshop.github.io/2024

Workshop Theme
As HPC platforms and applications increase significantly in size,
complexity, and heterogeneity, one major challenge is the widening gap
between computation and our ability to gain insight from extreme-scale data
and make timely, data-driven decisions. A well-known, yet challenging,
approach is in situ processing – performing as much analysis as possible
while computed data is still resident in memory.

This is the 10th year of the In Situ Infrastructures for Enabling
Extreme-scale Analysis and Visualization (ISAV) workshop. We celebrate that
in situ processing has evolved from research efforts to a central component
in supercomputer, cloud and edge applications. In situ methods are in high
demand: in system-scale 3D visualization for the latest Exascale
supercomputers, in cloud products providing responsive user experiences, in
tightly coupled digital twins, and in computational sciences. Each one of
these examples has a different set of requirements in response time, data
throughput and complexity of data pipelines, and more exploration in the in
situ space is needed to address multifaceted goals: (1) to preserve
important elements of simulations, (2) to significantly reduce the data
needed to preserve these elements, (3) to offer as much flexibility as
possible for post-processing exploration, and (4) to accelerate the
gathering of insights to be fast enough to make timely decisions based on
it.

ISAV is a community of in situ developers, practitioners, researchers, and
users of in situ methods and infrastructure, connecting industry,
government laboratories, and academia across all career levels. Through
presentations and discussions of research findings, lessons learned, and
early ideas, ISAV illuminates new requirements and gaps driven by science
and engineering applications, and fosters the community members and
knowledge base around the development and application of in situ methods
with its peer-reviewed proceedings.

Participation/Call for Papers
We invite two types of submissions to ISAV 2024: short papers and lightning
talks. (1) short, 5-page (+references) papers present research results,
that identify opportunities or challenges, and present case studies/best
practices for in situ methods/infrastructure in the areas of data
management, analysis and visualization; Short papers will appear in the
workshop proceedings and authors will be invited to give an oral
presentation of 15 to 20 minutes; (2) lightning presentation submissions,
consisting of a 1- or 2-page (+references) submission, and a brief oral
presentation of 5 to 10 minutes at the workshop. Lightning round
submissions are not included in the workshop proceedings.

Submissions of both types are welcome that fall within one or more areas of
interest. Areas of interest for ISAV include, but are not limited to:

   - In situ data management and infrastructures: Current Systems:
   production quality, research prototypes; Novel designs for systems and
   libraries; Challenges; Opportunities; Gaps
   - System resources, hardware, and emerging architectures: Elasticity,
   Cloud-, HPC-, and/or Edge-based approaches; Enabling Hardware; Hardware and
   architectures that provide opportunities for In situ processing, such as
   burst buffers, staging computations on I/O nodes, sharing cores within a
   node for both simulation and in situ processing; Efficient use of
   heterogeneous architectures.
   - Methods & algorithms: Best practices & new techniques; Analysis:
   AI/ML, feature detection, statistical methods, temporal methods, geometric
   and topological methods; Visualization: information visualization,
   scientific visualization, time-varying methods, AI/ML methods (e.g., image
   synthesis); Data reduction/compression.
   - Case Studies and Data Sources: Examples/case studies of solving a
   specific science challenge with in situ methods/infrastructure; In situ
   methods/systems applied to data from simulations and/or
   experiments/observations.
   - Simulation and Workflows: Integration: data modeling,
   software-engineering; Resilience: error detection, fault recovery;
   Workflows for supporting complex in situ processing pipelines.
   - Requirements and Usability: Reproducibility, provenance and metadata;
   Interplay and evolution of FAIR data, workflow and software practices for
   in situ; Using in situ to enable rapid and flexible post-processing;
   Simplified access to extreme heterogeneous resources; real-time coupling of
   computing / "digital twins" with physical measurements.

For the submissions we are not only looking for success stories, but are
also particularly interested in those experiments that started with a
certain goal or idea in mind, but later were shattered by reality or
insufficient hardware/software. What in situ methods are used or needed in
practice of scientific/academic/industry with HPC, cloud and edge
computing? What are the reasons for adoption or avoidance of methods and
products and where should in situ processing go from here?

Review Process
All submissions will undergo a peer-review process consisting of three
reviews by experts in the field, and evaluated according to relevance to
the workshop theme, technical soundness, creativity, originality, and
impact of method/results. Lightning round submissions will be evaluated
primarily for relevance to the workshop.

Submission Process
Authors are invited to submit papers of at most 5 pages in PDF format,
excluding references, and lightning presentations of at most 2 pages in PDF
format, excluding references. Papers must be submitted in PDF format
(readable by Adobe Acrobat Reader 5.0 and higher) and formatted for 8.5in x
11in (U.S. Letter).

In earlier editions of the workshop a +1 spillover page for references was
granted during review. Note that this changed and is now 5 + 1 from the
beginning.
All authors must use the new proceedings templates and the CCS2012 guide
that are available at:
https://www.ieee.org/conferences/publishing/templates.html

We believe that reproducible science is essential, and that SC should be a
leader in this effort. As a consequence, ISAV 2024 participates in the SC
reproducibility initiative and encourages submitters to include an appendix
with reproducibility information. While we will not disqualify a paper
based on information provided or not provided in this appendix, nor if the
appendix is not available, the availability and quality of an appendix will
be used in ranking a paper. For more information, see the ISAV
reproducibility FAQ.

Papers must be self-contained and provide the technical substance required
for the program committee to evaluate their contributions. Submitted papers
must be original work that has not appeared in and is not under
consideration for another conference or a journal.
Papers may be submitted using this link (TBD). A preview of the paper
submission form is available at this link (TBD).

Publication in proceedings, presentation at the workshop
All paper submissions that receive favorable reviews will be included as
part of the workshop proceedings, which will be published. Lightning round
submissions and the keynote speaker abstract will not be included as part
of the proceedings. Subject to the constraints of workshop length, some
subset of the accepted publications will be invited to give a brief oral
presentation at the workshop. The exact number of such presentations and
their length will be determined after the review process has been completed.

Timeline/Important Dates
02 Aug 2024 Paper submission deadline
06 Sep 2024 Author notification (Firm deadline)
27 Sep 2024 Camera ready copy due (note: this is a FIRM deadline)
17 Nov 2024 ISAV 2024 workshop at SC24

Committees and Chairs
Chairs
General chair: Matt Larsen, Luminary Cloud, USA
General co-chair: Axel Huebl, Lawrence Berkeley National Laboratory, USA
Program chair: Will Usher, Luminary Cloud, USA
Program co-chair: Estelle Dirand, TotalEnergies, France
Publicity chair: Earl Duque, Intelligent Light, USA
Publication chair: Nicola Ferrier, Argonne National Laboratory, USA
Early Career Program Committee Chair: Silvio Rizzi, Argonne National
Laboratory, USA
At-large Chair: E. Wes Bethel, San Francisco State University and Lawrence
Berkeley National Laboratory, USA
Organizing Committee
Sean Ziegeler, US Department of Defense HPC Modernization Program / GDIT,
USA
Axel Huebl, Lawrence Berkeley National Laboratory, USA
Nicola Ferrier, Argonne National Laboratory, USA
Matt Larsen, Luminary Cloud, USA
E. Wes Bethel, San Francisco State University and Lawrence Berkeley
National Laboratory, USA
Earl Duque, Intelligent Light, USA
Christoph Garth, University of Kaiserslautern, Germany
Kenneth Moreland, Oak Ridge National Laboratory, USA
Patrick O’Leary, Kitware, USA
Guido Reina , University of Stuttgart, Germany
Silvio Rizzi, Argonne National Laboratory, USA
Tom Vierjahn, Westphalian University of Applied Sciences, Germany
Gunther H. Weber, Lawrence Berkeley National Laboratory, USA
Matthew Wolf, Samsung Electronics, USA
Contact Us
Matt Larsen, General Chair, matt at luminarycloud dot com
Will Usher, Program Chair, will at luminarycloud dot com
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