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DOI: 10.4121/e64c61d3-deb5-4aad-af60-92d92755781f

Dekker, Florine (2025): Source code underlying the publication: Optimal Graph Stretching for Distributed Averaging. Version 3. 4TU.ResearchData. software. https://doi.org/10.4121/e64c61d3-deb5-4aad-af60-92d92755781f.v3

Version 2 - 2025-04-25 Version 1 - 2025-02-21

Categories

• Distributed Computing
• Computation Theory and Mathematics
• Information and Computing Sciences

Keywords

Consensus protocols Convergence time Cycle elimination Distributed algorithms Distributed consensus Gossip protocols Greedy optimisation High-girth graphs Measurement Network dynamics Network optimization Network performance analysis Network simulations Performance Short-cycle removal Synchronisability

Licence

CC BY-SA 4.0

Interoperability

• RO-Crate Metadata

Reproducibility

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by Florine Dekker

MATLAB code to reproduce results presented in the paper "Optimal Graph Stretching for Distributed Averaging".

The source code is available as a git repository. Cached computation results are available as additional files.

Git repository

Relevant code is stored in the StretchSim directory.

Runs and visualises optimal graph stretching. The settings in StretchSim.m correspond exactly to the code that was executed to create the results in the paper. The code is fully deterministic and gives the exact same results as in the paper. By default, cached results are used.

See ARTIFACT-EVALUATION.md in the root folder for detailed end-user instructions.

Files

Cached computation results are optionally available, with filenames ending in .cache.zip. These allow inspecting the exact outputs without the need to re-run the computationally intensive experiments. Detailed usage instructions are available in the file ARTIFACT-EVALUATION.md inside the git repository.

History

• 2025-02-21 first online

• 2025-06-16 published, posted

Publisher

4TU.ResearchData

Format

MATLAB code

References

• https://doi.org/10.48550/arXiv.2504.10289

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems