Training course "Introduction to GPU programming using OpenACC"
(Course no. 1152019 in the training programme 2019 of Forschungszentrum Jülich)
Scientists who want to use GPU systems with OpenACC
Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instancethis overview
), experience in C
This course is given in English.
28-29 October 2019, 09:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
Number of participants:
minimum 5, maximum 25
Dr. Andreas Herten, Thorsten Hater, JSC;
Jiri Kraus, NVIDIA
Dr. Andreas Herten
Phone: +49 2461 61-1825
Please register with Andreas Herten until 12 October 2019.
If you do not belong to the staff of Forschungszentrum Jülich, we need these data for registration:
Given name, name, birthday, nationality, complete home address, email address
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).