1st Stuttgart Research Software Day
Published February 26, 2026 | Version v1
Poster Open

EESSI: the research software streaming service

Authors/Creators

  • 1. ROR icon Universitat de Barcelona
  • 2. ROR icon Ghent University
  • 3. ROR icon University of Stuttgart
  • 4. SURF, Amsterdam
  • 5. ROR icon University of Bergen
  • 6. ROR icon University of Groningen

Description

The European Environment for Scientific Software Installations (EESSI, pronounced as "easy") is a collaboration between different European partners in HPC community. The goal of this project is to build a common stack of scientific software installations for HPC systems and beyond, including laptops, personal workstations and cloud infrastructure.

Stuttgart contributes to EESSI via the MultiXscale project and through the procurement of the molecular dynamics software ESPResSo as a pilot application. ESPResSo stable releases are available on the EESSI software stack and pre-releases are available on the EESSI development stack. Performance tests are available in the EESSI test suite and are periodically executed on HPC systems (dashboard). ESPResSo releases and pre-releases are used in continuous integration workflows in client applications pyMBE and SwarmRL via the EESSI GitHub Action.

Files

Stuttgart-research-software-day-EESSI-poster-2026.pdf

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Additional details

Cites
Journal article: 10.1002/spe.3075 (DOI)
Conference paper: 10.1016/j.procs.2025.02.267 (DOI)
Other: https://www.eessi.io/docs/blog/2025/12/04/gh-ci-workflow-for-EESSI/ (URL)
Project deliverable: 10.5281/zenodo.10451792 (DOI)
Describes
Software: https://github.com/EESSI/software-layer (URL)
Software: https://github.com/EESSI/github-action-eessi (URL)
Is described by
Other: https://www.eessi.io/docs/ (URL)

Funding

European Commission
MultiXscale - Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations 101093169
Federal Ministry of Education and Research
Verbundprojekt: MultiXscale: HPC-Exzellenzzentrum für Multi-Skalen-Simulationen auf Höchstleitungsrechnern 16HPC095
Deutsche Forschungsgemeinschaft
Strengthening the quality and user base of the research software ESPResSo for particle-based simulations 528726435

Dates

Issued
2026-03-02