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001     1049809
005     20260108204824.0
037 _ _ |a FZJ-2025-05593
041 _ _ |a English
100 1 _ |a Herten, Andreas
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|e Corresponding author
111 2 _ |a JSC - as part of the Training Programme of Forschungszentrum Jülich
|c online
|d 2025-10-28 - 2025-10-30
|w Germany
245 _ _ |a Directive-based GPU programming with OpenACC
260 _ _ |c 2025
336 7 _ |a lecture
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520 _ _ |a 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.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
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536 _ _ |a ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV)
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700 1 _ |a Meinke, Jan
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700 1 _ |a Haghighi Mood, Kaveh
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700 1 _ |a Hater, Thorsten
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700 1 _ |a Hrywniak, Markus
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700 1 _ |a Morgenstern, Laura
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700 1 _ |a Rajski, Michal
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856 4 _ |u https://indico3-jsc.fz-juelich.de/event/249/
909 C O |o oai:juser.fz-juelich.de:1049809
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913 1 _ |a DE-HGF
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