Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science
Kate Keahey, Marc Richardson, Rafael Tolosana Calasanz, Sascha Hunold,, Jay Lofstead, Tanu Malik, Christian Perez

TL;DR
This report summarizes a 2024 workshop on practical reproducibility challenges in HPC, highlighting technical barriers, community recommendations, and tools to improve experiment reproducibility while balancing rigor and feasibility.
Contribution
It provides a structured framework of challenges and actionable recommendations tailored for the HPC community to enhance reproducibility practices.
Findings
Identified key barriers like artifact completeness and hardware access.
Recommended practical tools such as checklists and digital libraries.
Emphasized balancing reproducibility rigor with practical feasibility.
Abstract
This report synthesizes findings from the November 2024 Community Workshop on Practical Reproducibility in HPC, which convened researchers, artifact authors, reviewers, and chairs of reproducibility initiatives to address the critical challenge of making computational experiments reproducible in a cost-effective manner. The workshop deliberately focused on systems and HPC computer science research due to its unique requirements, including specialized hardware access and deep system reconfigurability. Through structured discussions, lightning talks, and panel sessions, participants identified key barriers to practical reproducibility and formulated actionable recommendations for the community. The report presents a dual framework of challenges and recommendations organized by target audience (authors, reviewers, organizations, and community). It characterizes technical obstacles in…
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