[hpc-announce] CFP: Workshop on Productive, Performant Software for Large Scale Scientific Data Analysis

[Slaughter, Elliott]

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         Productive, Performant Software for Large Scale
                     Scientific Data Analysis

                        October 21-22, 2025
              SLAC National Accelerator Laboratory

        Abstract submission deadline: September 8, 2025
             Notification date: September 15, 2025
              Workshop dates: October 21-22, 2025

                     https://urldefense.us/v3/__https://lssda.github.io/__;!!G_uCfscf7eWS!YkPkkaUfzIrIYLz7fJiXoyGutmKgS4tQeNjA8Ou2iM75Y3LpstVKGacxyc0ernJ6jYfJrnnGKrAt4B1z9AcjbKdhpQd9-GMM$ 
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Scientific user facilities (SUFs) at the U.S. Department of Energy (DOE)
drive scientific discovery and innovation by delivering world-class
experimental capabilities that expand the frontiers of biology,
chemistry, physics, and materials science. Over the next 5 years,
upgrades at SUFs will generate over an order of magnitude more data,
promising to accelerate the pace of scientific innovation if correctly
harnessed. However, this flood of data poses challenges for the
scientific community, despite continued growth in HPC hardware
performance. The current state of the practice and tools optimized for
HPC are insufficiently flexible and productive to address the
high-stakes, short timelines, and rapidly evolving requirements of
highly dynamic scientific user experiments. Additionally, traditional
HPC software tools demand expertise that most users of SUFs cannot
realistically apply within the pace and pressures of modern experiments,
underscoring the need for more accessible, high-productivity approaches.
Emerging AI/ML technologies, though promising, do not address these
needs, and will not lead to a productive, high-performance software
ecosystem without decisive action.

This workshop will explore the research challenges and opportunities in
building a highly productive, high-performance software ecosystem for
large scale scientific data analysis for users at the SUFs. The goal of
the workshop is to identify key research directions that, if addressed,
would substantially change the status quo and deliver an order of
magnitude increase in productivity and performance for users of SUFs
across the DOE complex.

To address these goals, short (8-10 minute) talks are solicited in the
following areas.

 1. SUF use cases that require large-scale data analysis and/or
    computation
 2. Programming models, languages, tools and methodologies, and AI/ML
    approaches
 3. Hardware technologies, modalities and capabilities

Talks should be purposefully forward-looking, identifying key research
directions for the next 5-10 years while moving beyond refining current
practice toward transformative solutions that could increase
productivity and performance by an order of magnitude.

Each talk will be accompanied by an abstract (up to 2 pages maximum).
Multiple abstracts may be submitted to address different topics, but
please include a different lead author for each submission. Accepted
abstracts will be published on the workshop website prior to the
beginning of the workshop.

All participants are strongly encouraged to attend in person to maximize
the productivity of the event, though a virtual option will be available
if necessary. Participants in the workshop will also be invited to help
write a report that summarizes the findings of the workshop.

Presentation of a lightning talk is not a requirement for participation
in the workshop, but note that advance registration is required.

## Important Dates

  - Abstract submission deadline: September 8, 2025
  - Notification date: September 15, 2025
  - Workshop dates: October 21-22, 2025

## Format

Talks are 8-10 minutes with separate Q&A. All participants are strongly
encouraged to attend in person to maximize the productivity of the
event. A virtual presentation option will be available if necessary.

Abstracts are up to 2 pages maximum (including all text, figures,
footnotes, citations, etc.), in 12-point font, on letter paper, with
1-inch margins. Abstracts should be submitted in PDF format only.

By submitting an abstract, the authors consent to publishing it
publicly.

## Location and Travel

The workshop will be held at SLAC National Accelerator Laboratory in
Menlo Park, CA. Parking is available for free on site. Note that
registration is required for all attendees and that all visitors must
present valid identification when entering SLAC.

The workshop will be held in the Redwood conference room (A/B/C/D),
located in building 048. A map of SLAC is available at:
<https://urldefense.us/v3/__https://vue.slac.stanford.edu/meeting-rooms__;!!G_uCfscf7eWS!YkPkkaUfzIrIYLz7fJiXoyGutmKgS4tQeNjA8Ou2iM75Y3LpstVKGacxyc0ernJ6jYfJrnnGKrAt4B1z9AcjbKdhpf5IM61m$ >

A room block is available at the SLAC Guest House. Additional hotels
may be available in the area.

## Organizing Committee

  - Alex Aiken (Stanford/SLAC)
  - Elliott Slaughter (SLAC)
  - Johannes Blaschke (NERSC)
  - Keita Teranishi (ORNL)
  - Patrick McCormick (LANL)
  - Roberto Gioiosa (PNNL)