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Akademický článek
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Autor:
Rémy, Adrien
Dans cette thèse de doctorat, nous étudions des algorithmes et des implémentations pour accélérer la résolution de systèmes linéaires denses en utilisant des architectures composées de processeurs multicœurs et d'accélérateurs. Nous nous
Externí odkaz:
http://www.theses.fr/2015PA112138/document
Autor:
Rémy, Adrien
Publikováno v:
Hardware Architecture [cs.AR]. Université Paris Sud-Paris XI, 2015. English. ⟨NNT : 2015PA112138⟩
In this PhD thesis, we study algorithms and implementations to accelerate the solution of dense linear systems by using hybrid architectures with multicore processors and accelerators. We focus on methods based on the LU factorization and our code de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::9819ab5e5baf3108b587d305beba9a16
https://tel.archives-ouvertes.fr/tel-01225745/file/VD2_REMY_ADRIEN_08072015.pdf
https://tel.archives-ouvertes.fr/tel-01225745/file/VD2_REMY_ADRIEN_08072015.pdf
Autor:
Eggenspieler, S��bastien
The source separation technology developed by Audionamix requires a significant amount of computation. To increase the speed of the technology, several High Performance Computing libraries for linear algebra have been benchmarked with two application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44aff8bcdc0fde5f3d86e4133919d40b
Autor:
Sébastien Eggenspieler
The source separation technology developed by Audionamix requires a significant amount of computation. To increase the speed of the technology, several High Performance Computing libraries for linear algebra have been benchmarked with two application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::084e2e32821ed7d71f1c68b0a7ad68d6
Publikováno v:
[Research Report] RR-8497, INRIA. 2014
We study the impact of non-uniform memory accesses (NUMA) on the solution of dense general linear systems using an LU factorization algorithm. In particular we illustrate how an appropriate placement of the threads and memory on a NUMA architecture c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2380169fc690775dc8c2145e3acd6179
https://hal.inria.fr/hal-00957673/file/RR-8497.pdf
https://hal.inria.fr/hal-00957673/file/RR-8497.pdf
Publikováno v:
[Research Report] RR-8479, INRIA. 2014
This paper presents an efficient computation for least squares conditioning or estimates of it. We propose performance results using new routines on top of the multicore-GPU library MAGMA. This set of routines is based on an efficient computation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f378a3730a08d84b24d68a6834f5e269
https://hal.inria.fr/hal-00947204v2/document
https://hal.inria.fr/hal-00947204v2/document
Kniha
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