Directive-based GPU programming with OpenACC (PRACE training course, online)

This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.

Contents:

GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU. The course will cover basic aspects of GPU architectures and programming. Focus is on the usage of the directive-based OpenACC programming model which allows for portable application development. Examples of increasing complexity will be used to demonstrate optimization and tuning of scientific applications.

Topics covered will include:

• Introduction to GPU/Parallel computing
• Programming model OpenACC
  
• Interoperability of OpenACC with GPU libraries (like cuBLAS and cuFFT) and CUDA
• Multi-GPU Programming with MPI and OpenACC
  
• Tools for debugging and profiling
  
• Performance optimization
  

The course consists of lectures and interactive hands-on sessions in C or Fortran (the attendee’s choice).

This course is a PRACE training course.