PVC GPU Programming

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

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.
SYCL for C++, i.e. in a data-parallel and explicit fashion (similar to CUDA). Different to OpenMP, SYCL provides for more control over the code, data movements, allocations and so forth that are actually executed on the GPU. The SYCL implementation for Intel GPUs is provided by oneAPI. On the PVC partition, SYCL code can be compiled with the icpx compiler from the intel environment environment module(s). Migration of existing CUDA codes can be assisted using the DPC++ Compatibility Tool. The dpct binary is available via the intel/... environment modules. Note that SYCL codes can also be executed on Nvidia (and AMD) GPUs.

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.