Directive-based GPU programming with OpenACC

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 will take place as an online event. The link to the online platform will be provided to the registrants only. Prerequisites: Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance this overview), a little experience in C/Fortra