The CVL on R@CMon

The R@CMon team assisted the CVL team in migrating CVL services into R@CMon. The use of persistent storage ensured consistent user home directories and software-stack repositories.

The current production CVL includes toolsets covering Neuroimaging, Energy Materials and Structural Biology research drivers. The project includes so-called “CVL fabric services”, which provide the necessary infrastructure to modularise popular software toolsets from any number of domains.

The R@CMon team assisted the CVL team in migrating CVL services into R@CMon. The use of persistent storage (volumes on R@CMon) ensured consistent user home directories and software-stack repositories. The default “CVL Desktop” pool is now serving users with software-rendered CVL environments running on R@CMon. The CVL team is also a beta user of GPU flavours on R@CMon and is currently testing GPU-enabled CVL environments on the “CVL GPU node” pool (via CVL Launcher).

More information on the R@CMon blog