R and Singularity

By Staff

Mar 29, 2017 | Blog, How To Guides

Introduction:

I believe the idiosyncrasies of most HPC technologies represent the major road block to their adoption (in any language or system). HPC technologies are often difficult to set up, use, and manage. They often rely on frequently changing and complex software library dependencies, and sometimes highly specific library versions. Managing all this boils down to spending more time on system administration, and less time on research.

How do we make things easier? One approach to help accelerate the adoption of HPC technology by the R community uses Singularity, a modern application containerization technique suited to HPC.

Join Our Mailing List

Related Posts

SingularityCE Now Available in EPEL

EPEL (Extra Packages for Enterprise Linux) is a repository of additional packages for Enterprise Linux, including Red Hat Enterprise Linux, AlmaLinux, Oracle Linux, Rocky Linux and others. By integrating SingularityCE with EPEL, starting with release 3.10.4, users may...

read more

QA and Stability in Singularity

There are many different approaches that can be taken when building software. At one end of the spectrum is the extreme caution and conservatism that’s appropriate, for example, of safety critical code used in vehicles or in real-time operating systems. At the other...

read more