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| Home > Publications database > The DEEP Series of Projects – Application-Driven Co-Design Towards Exascale > print |
| 001 | 1035012 | ||
| 005 | 20250203103415.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2025-00118 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-00118 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Hoppe, Hans-Christian |0 P:(DE-Juel1)194562 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a CECAM Flagship Workshop 2024 |c Berlin |d 2024-02-19 - 2024-02-21 |w Germany |
| 245 | _ | _ | |a The DEEP Series of Projects – Application-Driven Co-Design Towards Exascale |
| 260 | _ | _ | |c 2024 |
| 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 1736774685_16364 |2 PUB:(DE-HGF) |x Invited |
| 520 | _ | _ | |a The overarching need to reduce the energy use in HPC, and the demand for ever-increasing performance have led to adoption of heterogenous architectures combining general-purpose CPUs and throughput-optimised accelerators. The combination of such diverse compute resources complicates life for application developers, and its raises the stakes for HPC centres, since different workloads will require different ratios of CPUs versus accelerators while systems are traditionally statically configured at installation time. Under the leadership of Jülich Supercomputing Centre, and in a long-term co-design collaboration with important application fields, the DEEP series of R&D projects have proposed and validated the Modular Supercomputing Architecture, which enables flexible composition of different compute resources. This talk portrays the history and results of the DEP projects, with particular focus on the co-design activities and their successes, challenges and lessons learnt. |
| 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 DEEP-SEA - DEEP – SOFTWARE FOR EXASCALE ARCHITECTURES (955606) |0 G:(EU-Grant)955606 |c 955606 |f H2020-JTI-EuroHPC-2019-1 |x 1 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1035012/files/Hoppe-DEEP-SEA-CECAM-WS-2024-Final.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1035012 |p openaire |p open_access |p VDB |p driver |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)194562 |
| 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 0 |
| 914 | 1 | _ | |y 2024 |
| 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 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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