27-29 October 2021
Online course
CET timezone
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/Fortran

Registrations are only considered until 1 October  2021, the maximal number of participants is limited. Applicants will be notified three weeks before the course, whether they are accepted for participation. The link to the course platform will be sent shortly before the course.

Instructors: Dr. Andreas Herten, Dr. Thorsten Hater, Dr. Kaveh Haghighi-Mood, JSC;
Markus Hrywniak, Jiri Kraus, NVIDIA

For any questions concerning the course please send an e-mail to a.herten@fz-juelich.de

Online course