An Effective Git And Org-Mode Based Workflow For Reproducible Research

Author:

Stanisic Luka1,Legrand Arnaud1,Danjean Vincent1

Affiliation:

1. CNRS/Inria/Univerity of Grenoble, Grenoble, France

Abstract

In this paper 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 approach builds on two well-known tools (Git and Org-mode) and enables to address, at least partially, issues such as running experiments, provenance tracking, experimental setup reconstruction or replicable analysis. We have been using such a methodology for two years now and it enabled us to recently publish a fully reproducible article [12]. To fully demonstrate the effectiveness of our proposal, we have opened our two year laboratory notebook with all the attached experimental data. This notebook and the underlying Git revision control system enable to illustrate and to better understand the workflow we used.

Publisher

Association for Computing Machinery (ACM)

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reproducibility, Replicability and Repeatability: A survey of reproducible research with a focus on high performance computing;Computer Science Review;2024-08

2. Implementing Data Workflows and Data Model Extensions with RDF-star;The Electronic Library;2024-03-15

3. Simplifying LaTeX with ORG-mode in Emacs;TUGboat;2023

4. Performance Impact of IEEE 802.3ad in Container-Based Clouds for HPC Applications;Computational Science and Its Applications – ICCSA 2020;2020

5. Towards Responsible Design with Internet of Things Data;Proceedings of the Design Society: International Conference on Engineering Design;2019-07

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