| 001 | 1019179 | ||
| 005 | 20250822121436.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2023-05225 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2023-05225 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Herten, Andreas |0 P:(DE-Juel1)145478 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a JSC - as part of the Training Programme of Forschungszentrum Jülich |c online |d 2023-10-24 - 2023-10-26 |w Germany |
| 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 |0 P:(DE-Juel1)132189 |b 1 |u fzj |
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| 856 | 4 | _ | |u https://indico3-jsc.fz-juelich.de/event/128/ |
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