What can GPUs do for your code?
The talks and lectures with experts from SURF, the Netherlands and the United States will guide through the different options that you have to exploit the performance of your code using GPUs. You will also have the opportunity to test your new skills during the hands-on exercises on the supercomputing facilities at SURF. Make sure that you don't miss this great chance to learn what GPUs can do for your code!
In this course you will:
- Explore the possibilities of optimisation for your code on CPUs vs. GPUs
- Implement directives to enable your code for GPUs using OpenACC and OpenM
- Understand how to implement efficient code structures for GPUs using HIP
- Learn about GPU architectures and exascale-enabled codes from world-class experts
Everyone interested in learning how to enhance the efficiency of codes using GPUs, starting from the beginning
- Basic knowledge of Linux
- Basic knowledge of programming, particularly with C/C++ or Fortran
- Basic knowledge on parallel computing. No specific experience with supercomputing systems is necessary.
- Your own laptop with an up-to-date browser and a terminal emulator. The use of the operating systems Linux and macOS is preferred, but not mandatory. For Windows users we recommend to download MobaXterm (portable version) as terminal emulator.