Directive-based GPU programming with OpenACC

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
In person
Live (synchronous)

Venue Information

Country: Germany
Venue Details: Click here

Training Content and Scope

Scientific Domain
Technical Domain
Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
HPC Profile of Target Audience
Application Users
Application Developers
Language of Instruction

Other Information

Organiser
Event/Course Description

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).