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| 001 | 1050214 | ||
| 005 | 20260220104242.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2026-00032 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2026-00032 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Hoppe, Hans-Christian |0 P:(DE-Juel1)194562 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a The International Conference for High Performance Computing, Networking, Storage, and Analysis |g SC25 |c St. Louis |d 2025-11-16 - 2025-11-21 |w USA |
| 245 | _ | _ | |a SEANERGYS Towards Energy Efficient Operation of HPC and AI Supercomputers |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1768295464_7766 |2 PUB:(DE-HGF) |x After Call |
| 520 | _ | _ | |a The talk presents the objectives and scientific approach of the SEANERGYS project to optimize energy efficiency and throughput for HPC and AI systems by the interaction of holistic system, facility and application monitoring, AI-based data analytics and prediction, and fully dynamic scheduling and resource management. |
| 536 | _ | _ | |a 5122 - Future Computing & Big Data Systems (POF4-512) |0 G:(DE-HGF)POF4-5122 |c POF4-512 |f POF IV |x 0 |
| 536 | _ | _ | |a SEANERGYS - Software for Efficient and Energy-Aware Supercomputers (101177590) |0 G:(EU-Grant)101177590 |c 101177590 |x 1 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1050214/files/SEANERGYS%20Talk%20at%20SC25%20ETP4HPC%20BoF.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2025 |
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| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
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