Lecture (Other)

FZJ-2023-05225

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Directive-based GPU Programming with OpenACC

Herten, A. (Corresponding author)FZJ* ; Meinke, J.FZJ* ; Haghighi Mood, K.FZJ* ; Hater, T.FZJ* ; Hrywniak, M.FZJ*

2023

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Please use a persistent id in citations: doi:10.34734/FZJ-2023-05225

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.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
3. ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV) (ATML-X-DEV)

Appears in the scientific report 2023

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Database coverage:

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