Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Dense linear algebra"'
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
Publikováno v:
IEEE Access, Vol 8, Pp 156915-156928 (2020)
The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called SWMM, focuses mainly on the infrequent case involvi
Externí odkaz:
https://doaj.org/article/2fcfad5bdaf34240b6a5695fedefa010
Autor:
Rongteng Wu
Publikováno v:
IEEE Access, Vol 7, Pp 66317-66324 (2019)
The efficient development of system software and design applications in parallel architecture is a notable challenge considering various aspects, such as load balancing, memory spaces, communication, and synchronization. This paper presents a block p
Externí odkaz:
https://doaj.org/article/457e6b7a9d674d3fb5540adfc11a491e
Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures
Autor:
Catalán Pallarés, Sandra, Igual Peña, Francisco D., Herrero Zaragoza, José Ramón, Rodríguez Sánchez, Rafael, Quintana Ortí, Enrique Salvador
Publikováno v:
Journal of Parallel and Distributed Computing. 175:51-65
We propose a methodology to address the programmability issues derived from the emergence of new-generation shared-memory NUMA architectures. For this purpose, we employ dense matrix factorizations and matrix inversion (DMFI) as a use case, and we ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7657c5af654b8f732475a391837394
https://doi.org/10.1016/j.jpdc.2023.01.004
https://doi.org/10.1016/j.jpdc.2023.01.004
Autor:
Charara, Ali
Covariance matrices are ubiquitous in computational sciences, typically describing the correlation of elements of large multivariate spatial data sets. For example, covari- ance matrices are employed in climate/weather modeling for the maximum likeli
Externí odkaz:
http://hdl.handle.net/10754/627948
Autor:
Psarras, Christos
Publikováno v:
Aachen : RWTH Aachen University 1 Online-Ressource : Diagramme (2023). doi:10.18154/RWTH-2023-01466 = Dissertation, RWTH Aachen University, 2023
Dissertation, RWTH Aachen University, 2023; Aachen : RWTH Aachen University 1 Online-Ressource : Diagramme (2023). = Dissertation, RWTH Aachen University, 2023
This dissertation aims to improve the process of translating (mapping) expressions co
This dissertation aims to improve the process of translating (mapping) expressions co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5833fbfff280cd3e816ff4b86dd8797
Autor:
Faverge, Mathieu, Furmento, Nathalie, Guermouche, Abdou, Lucas, Gwenolé, Namyst, Raymond, Thibault, Samuel, Wacrenier, Pierre-André
Publikováno v:
Concurrency and Computation: Practice and Experience
Concurrency and Computation: Practice and Experience, inPress
HeteroPar 2022-twentieth international workshop
HeteroPar 2022-twentieth international workshop, Aug 2022, Glasgow, United Kingdom. pp.12
[Research Report] RR-9466, Inria Bordeaux Sud-Ouest. 2022, pp.21
Euro-Par 2022: Parallel Processing Workshops ISBN: 9783031312083
Concurrency and Computation: Practice and Experience, inPress
HeteroPar 2022-twentieth international workshop
HeteroPar 2022-twentieth international workshop, Aug 2022, Glasgow, United Kingdom. pp.12
[Research Report] RR-9466, Inria Bordeaux Sud-Ouest. 2022, pp.21
Euro-Par 2022: Parallel Processing Workshops ISBN: 9783031312083
Task-based systems have gained popularity because of their promise of exploiting the computational power of complex heterogeneous systems. A common programming model is the so-called Sequential Task Flow (STF) model, which, unfortunately, has the int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb7f46e2e13c5e1cfc53f0b9a2a4c7dd
https://hal.science/hal-04088833v2/document
https://hal.science/hal-04088833v2/document
Publikováno v:
IEEE Access, Vol 8, Pp 156915-156928 (2020)
The study of matrix multiplication on the emerging SW26010 processor is highly significant for many scientific and engineering applications. The state-of-the-art work from the swBLAS library, called SWMM, focuses mainly on the infrequent case involvi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132a01f3257f1037a564d45e22da1cf7
https://doi.org/10.1109/access.2020.3019302
https://doi.org/10.1109/access.2020.3019302
Publikováno v:
SIAM Review, 2004 Mar 01. 46(1), 3-45.
Externí odkaz:
https://www.jstor.org/stable/20453467
Autor:
Sandra Catalán, Rafael Rodríguez-Sánchez, José R. Herrero, Pedro Alonso, Enrique S. Quintana-Ortí
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
[EN] We investigate how to leverage the heterogeneous resources of an Asymmetric Multicore Processor (AMP) in order to deliver high performance in the reduction to condensed forms for the solution of dense eigenvalue and singular-value problems. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bace9d6df23c47d4cfbfc21687a2b61
https://doi.org/10.1016/j.parco.2018.03.005
https://doi.org/10.1016/j.parco.2018.03.005