This course will give a short introduction to NVidia GPUs and Intel Xeon Phis, which are currently the two most popular accelerator architectures. After a short hardware overview we will present two simple pragma-based programming models for accelerators: offloading for Xeon Phi systems and OpenACC for GPUs. Some basic performance considerations and limitations due to the memory traffic between the host and accelerator will be discussed. Last part of the course will give a short one-day introduction to the lower level approach for GPU programming using CUDA.

The course is part of the PRACE Advanced Training Centre activity, see the PRACE Training portal for material and further information about the course.