001     1018971
005     20250822121436.0
024 7 _ |a 10.1145/3624062.3624178
|2 doi
024 7 _ |a 10.34734/FZJ-2023-05040
|2 datacite_doi
037 _ _ |a FZJ-2023-05040
041 _ _ |a English
100 1 _ |a Herten, Andreas
|0 P:(DE-Juel1)145478
|b 0
|e Corresponding author
111 2 _ |a SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
|g SC-W23
|c Denver, CO
|d 2023-11-12 - 2023-11-17
|w USA
245 _ _ |a Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview
260 _ _ |c 2023
|b ACM New York, NY, USA
295 1 0 |a Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
300 _ _ |a 1019–1026
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 1702637588_5921
|2 PUB:(DE-HGF)
336 7 _ |a Contribution to a book
|0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|m contb
500 _ _ |a arXiv: https://arxiv.org/abs/2309.05445 HTML-version of table: https://x-dev.pages.jsc.fz-juelich.de/models/ Data repository: https://github.com/AndiH/gpu-lang-compat
520 _ _ |a In recent history, GPUs became a key driver of compute performance in HPC. With the installation of the Frontier supercomputer, they became the enablers of the Exascale era; further largest-scale installations are in progress (Aurora, El Capitan, JUPITER). But the early-day dominance by NVIDIA and their CUDA programming model has changed: The current HPC GPU landscape features three vendors (AMD, Intel, NVIDIA), each with native and derived programming models. The choices are ample, but not all models are supported on all platforms, especially if support for Fortran is needed; in addition, some restrictions might apply. It is hard for scientific programmers to navigate this abundance of choices and limits. This paper gives a guide by matching the GPU platforms with supported programming models, presented in a concise table and further elaborated in detailed comments. An assessment is made regarding the level of support of a model on a platform.
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 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 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
588 _ _ |a Dataset connected to CrossRef Conference
773 _ _ |a 10.1145/3624062.3624178
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1018971/files/2309.05445.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1018971/files/2309.05445.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1018971/files/2309.05445.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1018971/files/2309.05445.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1018971/files/2309.05445.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1018971
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)145478
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
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 1
914 1 _ |y 2023
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 contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21