Training course "Introduction to GPU programming using OpenACC"

Start
16th October 2017 07:00 AM
End
17th October 2017 02:30 PM
Location
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a

(Course no. 94/2017 in the training programme of Forschungszentrum Jülich)

Target audience:

Scientists who want to use GPU systems with OpenACC

Contents:

 

Prerequisites:

Some knowledge about Linux, e.g. make, command line editor, Linux shell (see for instance

this overview

), experience in C

Language:

This course is given in English.

Duration:

2 days

Date:

16-17 October 2017, 9:00-16:30

Venue:

Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a

Number of participants:

minimum 5, maximum 25

Instructors:

Anke Kreuzer, Dr. Andreas Herten, Dr. Paul Baumeister, JSC


Jiri Kraus, NVIDIA

Contact:

Dr. Andreas Herten


Phone: +49 2461 61-1825


E-mail: a.herten@fz-juelich.de

Registration:

Please register with Andreas Herten until 2 October 2017.


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

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).

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Last Modified: 20.05.2022
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