| 001 | 1049575 | ||
| 005 | 20260119091049.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2025-05379 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-05379 |
| 088 | _ | _ | |a natESM Documentation #16 |2 Other |
| 100 | 1 | _ | |a Sukov, Sergey |0 P:(DE-Juel1)200302 |b 0 |e Corresponding author |
| 245 | _ | _ | |a natESM Sprint Documentation #16: PDAF2GPU Sprint |
| 260 | _ | _ | |c 2025 |
| 300 | _ | _ | |a 10 p. |
| 336 | 7 | _ | |a report |2 DRIVER |
| 336 | 7 | _ | |a REPORT |2 ORCID |
| 336 | 7 | _ | |a Report |0 10 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Report |2 DataCite |
| 336 | 7 | _ | |a Report |b report |m report |0 PUB:(DE-HGF)29 |s 1768810006_22359 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a TECHREPORT |2 BibTeX |
| 520 | _ | _ | |a The objective of the sprint was to address two technical challenges: evaluating and optimizing the performance of PDAF software modules, and developing a strategy for porting the code to GPUs. The key results achieved during the sprint are an evaluation of the parallel efficiency of a standalone application of the ICON-Ocean model with PDAF, code analysis, and the development of a strategy for GPU offloading. Preliminary GPU porting of core PDAF subroutines and subsequent performance testing were also carried out. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a BMFTR-01LK2107B1 - Nationale Modellierungsstrategie - ESM-Unterstützungsteam (natESM) (01LK2107B1) |0 01LK2107B1 |c 01LK2107B1 |x 1 |
| 700 | 1 | _ | |a Nerger, Lars |0 P:(DE-HGF)0 |b 1 |
| 856 | 4 | _ | |u https://www.nat-esm.de/services/support-through-sprints/documentation/250710-natesm_sprint_report_pdaf2gpu_final.pdf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1049575/files/natesm_sprint_docu_pdaf2gpu.pdf |y OpenAccess |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)200302 |
| 910 | 1 | _ | |a External Institute |0 I:(DE-HGF)0 |k Extern |b 1 |6 P:(DE-HGF)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)POF4-511 |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)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2025 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a report |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | 1 | _ | |a FullTexts |
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