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.
Enabling Portable and Secure Computing Environments for High-Performance Workloads.As part of their ongoing efforts to streamline workflows, enhance productivity, and save time, engineers, and developers in enterprises and high performance computing (HPC) focused...
In this post, we will cover how to install SingularityCE on a macOS machine running on Apple Silicon (M1 /M2 and their variants). We will do this using the free and open-source UTM, which will allow us to run an ARM64 Linux virtual machine on macOS using native...
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...