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| 001 | 916369 | ||
| 005 | 20250822121435.0 | ||
| 024 | 7 | _ | |a 2128/33245 |2 Handle |
| 037 | _ | _ | |a FZJ-2022-06170 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Herten, Andreas |0 P:(DE-Juel1)145478 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a DKRZ User Workshop - natESM Hands-on Session |c Hamburg |d 2022-10-12 - 2022-10-13 |
| 245 | _ | _ | |a Many Ways to GPUs - A GPU Introduction |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a lecture |2 DRIVER |
| 336 | 7 | _ | |a Generic |0 31 |2 EndNote |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Lecture |b lecture |m lecture |0 PUB:(DE-HGF)17 |s 1671631491_28423 |2 PUB:(DE-HGF) |x Invited |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Text |2 DataCite |
| 500 | _ | _ | |a The content is also available at https://www.nat-esm.de/services/documentation |
| 520 | _ | _ | |a In this session, we will focus on utilizing GPUs for scientific workloads. First, in form of a talk, the most important features of massively parallel GPU architectures are outlined and different programming models presented. Then, in a subsequent hands-on session, practical examples of porting to these programming models are given, focussing on the most commonly used models (CUDA, OpenACC, possibly Kokkos). |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a 5122 - Future Computing & Big Data Systems (POF4-512) |0 G:(DE-HGF)POF4-5122 |c POF4-512 |f POF IV |x 1 |
| 536 | _ | _ | |a ATML-X-DEV - ATML Accelerating Devices (ATML-X-DEV) |0 G:(DE-Juel-1)ATML-X-DEV |c ATML-X-DEV |x 2 |
| 700 | 1 | _ | |a Haghighi Mood, Kaveh |0 P:(DE-Juel1)176293 |b 1 |u fzj |
| 856 | 4 | _ | |u https://www.nat-esm.de/events/natesm-user-ws2022 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/916369/files/Exercises%20Slides.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/916369/files/Lecture%20Slides.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:916369 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)145478 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)176293 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-512 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Supercomputing & Big Data Infrastructures |9 G:(DE-HGF)POF4-5122 |x 1 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a lecture |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
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