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Created page with "In some situations, the complexity of the dependencies of a program requires the use of a solution where you can control the entire software environment. In these situations,..."
(Created page with "==Singularity Use==")
(Created page with "In some situations, the complexity of the dependencies of a program requires the use of a solution where you can control the entire software environment. In these situations,...")
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==Singularity Use==
==Singularity Use==


Dans certaines situations, la complexité des dépendances d'un logiciel exige une solution où l'on peut maîtriser entièrement l'environnement. Pour ces situations, on recommande l'outil [[Singularity/fr | Singularity]] : notez qu'une image Docker peut être convertie en image Singularity. Le seul inconvénient de Singularity, c'est que les images consomment beaucoup d'espace disque, alors si votre groupe de recherche prévoit d'utiliser plusieurs images, il serait sage de les regrouper ensemble dans un seul répertoire de l'espace projet du groupe pour éviter les doublons.   
In some situations, the complexity of the dependencies of a program requires the use of a solution where you can control the entire software environment. In these situations, we recommend the tool [[Singularity]]; note that a Docker image can be converted into a Singularity image. The only disadvantage of Singularity is its consumption of disk space. If your research group plans on using several images, it would be wise to collect all of them together in a single directory of the group's project space to avoid duplication.   


== Examples where Anaconda does not work ==
== Examples where Anaconda does not work ==
;R: A conda recipe forces the installation of R. This installation does not perform nearly as well as the version we provide as a module (which uses Intel MKL). This same R does not work well, and jobs launched with it may die and waste both computing ressources as well as your time.
;R: A conda recipe forces the installation of R. This installation does not perform nearly as well as the version we provide as a module (which uses Intel MKL). This same R does not work well, and jobs launched with it may die and waste both computing ressources as well as your time.
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