Home > Publications database > The DEEP-SEA project: a software stack for heterogeneous and modular supercomputers > print

001     1037547
005     20250203103229.0
037 _ _ |a FZJ-2025-00736
082 _ _ |a 004
100 1 _ |a Suarez, Estela
|0 P:(DE-Juel1)142361
|b 0
|e Corresponding author
|u fzj
245 _ _ |a The DEEP-SEA project: a software stack for heterogeneous and modular supercomputers
260 _ _ |a Erlangen
|c 2024
|b Gesellschaft für Informatik e.V., Fachgruppe PARS
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1737469179_29852
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Today’s most powerful supercomputers achieve their performance through heterogeneous system architectures that integrate CPUs with accelerators, especially GPUs, and advanced multi-level memory systems. This hardware diversity challenges application developers to adapt legacy code, requiring significant efforts in code evolution and optimisation. The European DEEP-SEA project has developed an integrated software stack for heterogeneous HPC systems, including kernel modules, libraries, management systems and programming abstractions. It supports heterogeneous hardware configurations including modular supercomputers, enabling optimal resource allocation, application of malleability and programming model composability. Enhanced tools and data placement policies improved performance on DRAM and fast memory. Results were made publicly available, ensuring sustainability through integration with upstream open source projects and extension of HPC standards. This paper summarises the DEEP-SEA project’s contributions to a wide variety of software packages and developments.
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 - Dynamical Exascale Entry Platform (287530)
|0 G:(EU-Grant)287530
|c 287530
|f FP7-ICT-2011-7
|x 1
536 _ _ |a DEEP-ER - DEEP Extended Reach (610476)
|0 G:(EU-Grant)610476
|c 610476
|f FP7-ICT-2013-10
|x 2
536 _ _ |a DEEP-EST - DEEP - Extreme Scale Technologies (754304)
|0 G:(EU-Grant)754304
|c 754304
|f H2020-FETHPC-2016
|x 3
536 _ _ |a DEEP-SEA - DEEP – SOFTWARE FOR EXASCALE ARCHITECTURES (955606)
|0 G:(EU-Grant)955606
|c 955606
|f H2020-JTI-EuroHPC-2019-1
|x 4
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Eicker, Norbert
|0 P:(DE-Juel1)132090
|b 1
|u fzj
700 1 _ |a Hoppe, Hans-Christian
|0 P:(DE-Juel1)194562
|b 2
|u fzj
770 _ _ |z 0177-0454
773 _ _ |0 PERI:(DE-600)1215090-3
|p 7-25
|t PARS-Mitteilungen
|v 36
|y 2024
|x 0177-0454
856 4 _ |u https://juser.fz-juelich.de/record/1037547/files/pars2024_1.pdf
|y Restricted
909 C O |o oai:juser.fz-juelich.de:1037547
|p openaire
|p VDB
|p ec_fundedresources
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)142361
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132090
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|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 No Peer Review
|0 StatID:(DE-HGF)0020
|2 StatID
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21