Zobrazeno 1 - 10
of 419
pro vyhledávání: '"Runtime Systems"'
Autor:
Alomairy, Rabab M.
To leverage the extreme parallelism of emerging architectures, so that scientific applications can fulfill their high fidelity and multi-physics potential while sustaining high efficiency relative to the limiting resource, numerical algorithms must b
Externí odkaz:
http://hdl.handle.net/10754/679787
Akademický článek
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Akademický článek
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Autor:
Gonthier, Maxime
Publikováno v:
ComPAS 2023-Conférence francophone d'informatique en Parallélisme, Architecture et Système
ComPAS 2023-Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2023, Annecy, France
ComPAS 2023-Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2023, Annecy, France
National audience; The use of accelerators such as GPUs has become mainstream to achieve high performance on modern computing systems. GPUs come with their own (limited) memory and are connected to the main memory of the machine through a bus (with l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::45a6498a0e0e7fd5776b9709ea1971ea
https://inria.hal.science/hal-04090634/document
https://inria.hal.science/hal-04090634/document
Autor:
Lyerly, Robert Frantz
In recent years there has been a proliferation of parallel and heterogeneous architectures. As chip designers have hit fundamental limits in traditional processor scaling, they have begun rethinking processor architecture from the ground up. In addit
Externí odkaz:
http://hdl.handle.net/10919/100599
Akademický článek
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Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Simulations of electrical activity of networks of morphologically detailed neuron models allow for a better understanding of the brain. State-of-the-art simulations describe the dynamics of ionic currents and biochemical processes within branching to
Externí odkaz:
https://doaj.org/article/78ad2b519b9c4987af2e5245fec27560
Publikováno v:
JLESC 2023-15th JLESC Workshop
JLESC 2023-15th JLESC Workshop, Mar 2023, Bordeaux, France
ISC 2023-ISC High Performance 2023
ISC 2023-ISC High Performance 2023, May 2023, Hamburg, Germany. Lecture Notes in Computer Science
HiPEAC ACACES 2022-18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems
HiPEAC ACACES 2022-18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems, Jul 2022, Fiuggi, Italy
JLESC 2023-15th JLESC Workshop, Mar 2023, Bordeaux, France
ISC 2023-ISC High Performance 2023
ISC 2023-ISC High Performance 2023, May 2023, Hamburg, Germany. Lecture Notes in Computer Science
HiPEAC ACACES 2022-18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems
HiPEAC ACACES 2022-18th International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems, Jul 2022, Fiuggi, Italy
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5fb7d20c15c95ad2314bf8cbe5f7d1af
https://inria.hal.science/hal-04090612/document
https://inria.hal.science/hal-04090612/document
Publikováno v:
Future Generation Computer Systems
Future Generation Computer Systems, In press, ⟨10.1016/j.future.2023.01.024⟩
Future Generation Computer Systems, In press, ⟨10.1016/j.future.2023.01.024⟩
International audience; A now-classical way of meeting the increasing demand for computing speed by HPC applications is the use of GPUs and/or otheraccelerators. Such accelerators have their own memory, which is usually quite limited, and are connect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c311052099aa9892a71177ff11e84d
https://inria.hal.science/hal-03623220v2/file/fgcs-paper-reviewers-round2-unmarked-submitted.pdf
https://inria.hal.science/hal-03623220v2/file/fgcs-paper-reviewers-round2-unmarked-submitted.pdf
Publikováno v:
SPAA '23: Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures
Work Stealing (Ws) is a provably efficient scheduler of parallel computations. In WS each processor owns a deque that it uses as a call stack; when out of work, processors try to steal tasks from other processors' deques. Unfortunately, the concurren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e3e3c2574987ce21e8e350ba6a5ba65