Lecture (Other) FZJ-2019-06781

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Introduction to GPU Programming using OpenACC

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2019

Lecture at Training Programme 2019 of Forschungszentrum Jülich (Jülich, Germany), 28 Oct 2019 - 29 Oct 20192019-10-282019-10-29

Abstract: 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 covers 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 are used to demonstrate optimization and tuning of scientific applications.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
  2. 513 - Supercomputer Facility (POF3-513) (POF3-513)

Appears in the scientific report 2019
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 Record created 2019-12-18, last modified 2021-01-30


Restricted:
3-debugging - Download fulltext PDF Download fulltext PDF (PDFA)
5-interoperability - Download fulltext PDF Download fulltext PDF (PDFA)
1-gpu-intro - Download fulltext PDF Download fulltext PDF (PDFA)
6-multi-gpu-programming - Download fulltext PDF Download fulltext PDF (PDFA)
0-overview - Download fulltext PDF Download fulltext PDF (PDFA)
4-performance-optimization - Download fulltext PDF Download fulltext PDF (PDFA)
2-openacc-intro - Download fulltext PDF Download fulltext PDF (PDFA)
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