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Delivering a reproducible environment along with complex and up-to-datesoftware stacks on thousands of distributed and heterogeneous worker nodes is acritical task. The CernVM-File System (CVMFS) has been designed to help variouscommunities to deploy software on worldwide distributed computinginfrastructures by decoupling the software from the Operating System. However,the installation of this file system depends on a collaboration with systemadministrators of the remote resources and an HTTP connectivity to fetchdependencies from external sources. Supercomputers, which offer tremendouscomputing power, generally have more restrictive policies than grid sites anddo not easily provide the mandatory conditions to exploit CVMFS. Differentsolutions have been developed to tackle the issue, but they are often specificto a scientific community and do not deal with the problem in its globality. Inthis paper, we provide a generic utility to assist any community in theinstallation of complex software dependencies on supercomputers with noexternal connectivity. The approach consists in capturing dependencies ofapplications of interests, building a subset of dependencies, testing it in agiven environment, and deploying it to a remote computing resource. Weexperiment this proposal with a real use case by exporting Gauss-a Monte-Carlosimulation program from the LHCb experiment-on Mare Nostrum, one of the topsupercomputers of the world. We provide steps to encapsulate the minimumrequired files and deliver a light and easy-to-update subset of CVMFS: 12.4Gigabytes instead of 5.2 Terabytes for the whole LHCb repository.

A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources