[hpc-announce] Workshop Announcement: 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
             Virtual and In-Person Options Available

             Registration deadline: October 9, 2025
              Workshop dates: October 21-22, 2025

                     https://urldefense.us/v3/__https://lssda.github.io/__;!!G_uCfscf7eWS!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DM0MDonb$ 
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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.

  - Agenda: https://urldefense.us/v3/__https://lssda.github.io/agenda__;!!G_uCfscf7eWS!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DBF6NCtA$ 
  - Registration: https://urldefense.us/v3/__https://lssda.github.io/register__;!!G_uCfscf7eWS!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DFrGFLng$ 

## Plenary Speakers

  - Ben Brown (DOE)
  - Jana Thayer (SLAC)
  - Nicholas Sauter and David Mittan-Moreau (LBL)

## Important Dates

  - Registration deadline: October 9, 2025
  - Workshop dates: October 21-22, 2025

## 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: https://urldefense.us/v3/__https://lssda.github.io/register__;!!G_uCfscf7eWS!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DFrGFLng$ 

Attendees may book at the Stanford Guest House (subject to
availability). Additional hotels may be available in the area:
https://urldefense.us/v3/__https://lssda.github.io/lodging__;!!G_uCfscf7eWS!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DPZnb9u6$ 

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!YIx4SvT1buGgTL4tgZKjfZuRwKQvRY4DXFIAkMSZa47eu3GA7u7cGHStI0v5ha2J4EADJD01qYyYTNewcefSQ2J7DB_b3DZ1$ 

## Organizing Committee

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