Institute for Advanced Simulation (IAS)
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Training course "Introduction to GPU programming using OpenACC"
(Course no. 87/2016 in the training programme of Forschungszentrum Jülich)
- begin
- 24 Oct 2016 09:00
- end
- 25 Oct 2016 16:30
- venue
- Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
- Target audience:
- Scientists who want to use GPU systems with OpenACC
- Contents:
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
- Tools for debugging and profiling
- Performance optimization
- Prerequisites:
- Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C
- Language:
- This course is given in English.
- Duration:
- 2 days
- Date:
- 24-25 October 2016, 9:00-16:30
- Venue:
- Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
- Number of participants:
- minimum 5, maximum 25
- Instructors:
- Anne Severt, Dr. Andreas Herten, Dr. Paul Baumeister, JSC
Jiri Kraus, NVIDIA - Contact:
- Course materials:
- Presentations at the training course "Introduction to GPU programming using OpenACC" (October 2019)
