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See detailRESIF 3.0: Toward a Flexible & Automated Management of User Software Environment on HPC facility
Varrette, Sébastien UL; Kieffer, Emmanuel UL; Pinel, Frederic UL et al

in ACM Practice and Experience in Advanced Research Computing (PEARC'21) (2021, July)

High Performance Computing (HPC) is increasingly identified as a strategic asset and enabler to accelerate the research and the business performed in all areas requiring intensive computing and large ... [more ▼]

High Performance Computing (HPC) is increasingly identified as a strategic asset and enabler to accelerate the research and the business performed in all areas requiring intensive computing and large-scale Big Data analytic capabilities. The efficient exploitation of heterogeneous computing resources featuring different processor architectures and generations, coupled with the eventual presence of GPU accelerators, remains a challenge. The University of Luxembourg operates since 2007 a large academic HPC facility which remains one of the reference implementation within the country and offers a cutting-edge research infrastructure to Luxembourg public research. The HPC support team invests a significant amount of time (i.e., several months of effort per year) in providing a software environment optimised for hundreds of users, but the complexity of HPC software was quickly outpacing the capabilities of classical software management tools. Since 2014, our scientific software stack is generated and deployed in an automated and consistent way through the RESIF framework, a wrapper on top of Easybuild and Lmod [5] meant to efficiently handle user software generation. A large code refactoring was performed in 2017 to better handle different software sets and roles across multiple clusters, all piloted through a dedicated control repository. With the advent in 2020 of a new supercomputer featuring a different CPU architecture, and to mitigate the identified limitations of the existing framework, we report in this state-of-practice article RESIF 3.0, the latest iteration of our scientific software management suit now relying on streamline Easybuild. It permitted to reduce by around 90% the number of custom configurations previously enforced by specific Slurm and MPI settings, while sustaining optimised builds coexisting for different dimensions of CPU and GPU architectures. The workflow for contributing back to the Easybuild community was also automated and a current work in progress aims at drastically decrease the building time of a complete software set generation. Overall, most design choices for our wrapper have been motivated by several years of experience in addressing in a flexible and convenient way the heterogeneous needs inherent to an academic environment aiming for research excellence. As the code base is available publicly, and as we wish to transparently report also the pitfalls and difficulties met, this tool may thus help other HPC centres to consolidate their own software management stack. [less ▲]

Detailed reference viewed: 276 (18 UL)
See detailUL HPC Tutorial: Bio-informatics workflows and applications
Plugaru, Valentin UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 61 (3 UL)
See detailUL HPC Tutorial: (Advanced) Prototyping with Python
Parisot, Clément UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 67 (4 UL)
See detailUL HPC Tutorial: HPC Containers with Singularity
Plugaru, Valentin UL; Varrette, Sébastien UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 90 (6 UL)
See detailUL HPC Tutorial: HPC workflow with sequential jobs
Cartiaux, Hyacinthe UL; Varrette, Sébastien UL; Plugaru, Valentin UL et al

Presentation (2018, June)

Detailed reference viewed: 112 (10 UL)
See detailUL HPC Tutorial: Advanced Job scheduling with SLURM and OAR
Plugaru, Valentin UL; Varrette, Sébastien UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 92 (5 UL)
See detailUL HPC Tutorial: Parallel computations with OpenMP/MPI
Varrette, Sébastien UL; Plugaru, Valentin UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 50 (1 UL)
See detailUL HPC Tutorial: Statistical Computing with R
Ginolhac, Aurélien UL; Emeras, Joseph; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 103 (19 UL)
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See detailLarge-scale research data management: Road to GDPR compliance
Bouvry, Pascal UL; Varrette, Sébastien UL; Plugaru, Valentin UL et al

Presentation (2018, April)

Detailed reference viewed: 147 (12 UL)