Effective Reproducible Research with Org-Mode and Git

Luka Stanisic 1, 2 Arnaud Legrand 1, 2
2 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this article we address the question of developing a lightweight and effective workflow for conducting experimental research on modern parallel computer systems in a reproducible way. Our workflowsimply builds on two well-known tools (Org-mode and Git) and enablesto address issues such as provenance tracking, experimental setup reconstruction, replicable analysis. Although this workflow is perfectible and cannot be seen as a final solution, we have been usingit for two years now and we have recently published a fully reproduciblearticle, which demonstrates the effectiveness of our proposal.
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https://hal.inria.fr/hal-01083205
Contributor : Arnaud Legrand <>
Submitted on : Sunday, November 16, 2014 - 2:48:21 PM
Last modification on : Thursday, October 11, 2018 - 8:48:02 AM

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  • HAL Id : hal-01083205, version 1

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Luka Stanisic, Arnaud Legrand. Effective Reproducible Research with Org-Mode and Git. 1st International Workshop on Reproducibility in Parallel Computing, Aug 2014, Porto, Portugal. ⟨hal-01083205⟩

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