The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging

Author:

Vila Gael1ORCID,Medernach Emmanuel2ORCID,Gonzalez Pepe Ines3ORCID,Bonnet Axel1ORCID,Chatelain Yohan3ORCID,Sdika Michael1ORCID,Glatard Tristan3ORCID,Camarasu Pop Sorina1ORCID

Affiliation:

1. Univ Lyon, INSA Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, France

2. IPHC, CNRS/IN2P3, Université de Strasbourg, France

3. Department of Computer Science and Software Engineering, Concordia University, Canada

Funder

Canada Research Chairs

ANR

Publisher

ACM

Reference21 articles.

1. Adding Virtualization Capabilities to the Grid’5000 Testbed

2. Variability in the analysis of a single neuroimaging dataset by many teams

3. Alexander Bowring, Camille Maumet, and Thomas E Nichols. 2019. Exploring the impact of analysis software on task fMRI results. Human brain mapping 40, 11 (2019), 3362–3384.

4. Verificarlo: Checking Floating Point Accuracy through Monte Carlo Arithmetic

5. Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Pop, and Carole Frindel. 2023. REPRODUCIBILITY OF TUMOR SEGMENTATION OUTCOMES WITH A DEEP LEARNING MODEL. In International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia. https://hal.science/hal-04006057

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