Editing Portal:HPC - High Performance Computing (section)

=== Accelerators, GPUs, and Perl ===

Modern HPC increasingly uses GPUs and other accelerators. Perl is not a major GPU programming language in the way that CUDA C++, HIP, SYCL, OpenACC, OpenMP target offload, or Python-based GPU libraries are. However, Perl can still participate in GPU workflows.

Perl can:

* prepare data for GPU programs;
* launch CUDA or HIP executables;
* control GPU-enabled containers;
* parse NVIDIA or ROCm monitoring output;
* coordinate batch jobs using GPUs;
* process results after GPU kernels finish;
* call GPU-capable libraries indirectly through bindings;
* use AI, OpenCV, TensorFlow, or other native libraries where Perl bindings exist.

The realistic Perl GPU story is again orchestration and integration. Perl may not be where the CUDA kernel is written, but it can be the language that keeps the GPU workflow reproducible.