This title appears in the Scientific Report :
2017
Please use the identifier:
http://hdl.handle.net/2128/15983 in citations.
Introduction to GPU Programming using OpenACC
Introduction to GPU Programming using OpenACC
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...
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Personal Name(s): | Herten, Andreas (Corresponding author) |
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Kraus, Jiri / Kreuzer, Anke | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Imprint: |
2017
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Conference: | Trainingsprogramm 2017 des Forschungszentrums Jülich, Jülich (Germany), 2017-10-16 - 2017-10-17 |
Document Type: |
Lecture |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess OpenAccess |
Publikationsportal JuSER |
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. |