/
PVC GPU Programming

PVC GPU Programming

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.

Related content

Compute partitions
Compute partitions
Read with this
Intel oneAPI Compiler Suite
Intel oneAPI Compiler Suite
More like this
CUDA
More like this
PVC AI Tools and Frameworks
PVC AI Tools and Frameworks
More like this
OpenMP for GPU A100
OpenMP for GPU A100
More like this
PVC MPI Usage
PVC MPI Usage
More like this