[Ieee_vis] CFP Extended Aug 9, 2024: ISAV 2024: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization

[Earl Duque]

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

In conjunction with:

SC24, The International Conference for High Performance Computing,
Networking, Storage, and Analysis

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

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 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?

Timeline/Important Dates

09 Aug 2024      Paper submission deadline (extended)

06 Sep 2024      Author notification

27 Sep 2024      Camera ready copy due (note: this deadline is FIRM)

Nov 2024           ISAV’24 workshop at SC24

See https://isav-workshop.github.io/2024/ for more information and
submission instructions




Earl P.N. Duque
earl.duque at gmail.com
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