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.
Ensuring Long-term Trust and Reliability of SIF Images: What You Need to Know As container runtimes technologies become more prevalent, it presents a dilemma for government, public, and private sector organizations. They must consider the long-term implications of...
The Apptainer project has recently published CVE-2023-30549. The associated
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...