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

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).

Prerequisites:

Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance this overview), some experience in C

Target audience:

Scientists who want to use GPU systems with OpenACC

Language:

This course is given in English.

Registration

Registration here.