Abstract
The High Performance Computing (HPC) domain aims to optimize code to use the latest multicore and parallel technologies including specific processor instructions. In this computing framework, portability and reproducibility are key concepts. A way to handle these requirements is to use Linux containers. These "light virtual machines" allow users to encapsulate applications within its environment in processes. Containers have been recently highlighted because they provide multi-infrastructure environnement for both developers and system administrators. Furthermore, they offer reproducibility due to image building files. Two container solutions are emerging: Docker for micro-services and Singularity for computing applications. We present here the Com-puteOps project which investigates the container benefits for HPC applications.
Highlights
The ComputeOps1 project, started in 2018, targets container technologies for the High Performance Computing (HPC) domain
The first year of the project has been dedicated to selection of container technology allowing to run container applications on HPC infrastructures
The project members have selected several use cases as pilot applications. These pilot applications will demonstrate the interest of encapsulating environment in containers in the HPC domain
Summary
The ComputeOps project, started in 2018, targets container technologies for the High Performance Computing (HPC) domain. The first year of the project has been dedicated to selection of container technology allowing to run container applications on HPC infrastructures. The project members have selected several use cases as pilot applications. These pilot applications will demonstrate the interest of encapsulating environment in containers in the HPC domain. The project has started to provide tools for the research community: a private Singularity Hub has been settled and connected to the GitLab platform
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