PVC GPU Programming

Owned by Scientific Consultant03
Last updated: Apr. 12, 2024
1 min read

Programs for Intel GPUs can be written using open industry and cross-platform standards, like:

  1. OpenMP offloading in C/C++ and Fortran, i.e. with the help of compiler directives and a supporting compiler, e.g. Intel’s icpx (C/C++ compiler) and ifx (Fortran compiler) which is available in intel/... environment modules.
    Intel provides an OpenMP Offloading Tuning Guide.

  2. SYCL for C++, i.e. in a data-parallel and explicit fashion. Similar to CUDA but open and cross-platform. See SYCL for more details and code examples.

Please refer to the oneAPI Programming Guide for further details about programming. Contact NHR@ZIB support to get assistance on getting your application run on Intel GPUs

The following tools may be useful to check the availability and performance indicators of the GPUs

  • xpu-smi (available without any environment module being loaded) lists the available GPUs from the drivers and selected metrics/properties.

  • sycl-ls [--verbose] (available in intel/... environment modules) shows GPUs and their properties as available to applications.

  • nvtop (available in nvtop environment module) shows GPU compute and memory usage.