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024 7 _ |a 10.34734/FZJ-2023-05225
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037 _ _ |a FZJ-2023-05225
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100 1 _ |a Herten, Andreas
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111 2 _ |a JSC - as part of the Training Programme of Forschungszentrum Jülich
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245 _ _ |a Directive-based GPU Programming with OpenACC
260 _ _ |c 2023
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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 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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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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856 4 _ |u https://indico3-jsc.fz-juelich.de/event/128/
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Marc 21