Editing Portal:HPC - High Performance Computing (section)

=== Perl’s natural HPC niche ===

High-performance computing is not only about floating-point kernels. A real HPC workflow also includes configuration files, mesh files, input decks, restart files, scheduler scripts, environment modules, log files, NetCDF or HDF5 output, post-processing, visualization, database loading, and long chains of dependent jobs.

Perl is well suited to this surrounding work. A Perl script can generate thousands of simulation cases, submit jobs to a scheduler, monitor progress, parse logs, detect failed runs, extract summary values, compare outputs, and build reports. This is the kind of “glue” role where Perl has historically excelled.

Typical Perl HPC uses include:

* preparing model input files;
* generating parameter sweeps;
* submitting jobs to Slurm, PBS, LSF, SGE, or local batch systems;
* parsing large log files;
* validating simulation output;
* converting between file formats;
* coordinating compiled Fortran, C, C++, or CUDA programs;
* extracting metadata from scientific files;
* producing CSV, JSON, HTML, or database-backed summaries;
* automating regression tests;
* wrapping legacy command-line programs.

This work may not be as glamorous as writing a solver kernel, but it is essential. Many HPC projects fail or become difficult to reproduce not because the numerical kernel is wrong, but because the workflow around it is fragile.