Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rocío Carratalá Sáez"'
Publikováno v:
Advances in Systems Analysis, Software Engineering, and High Performance Computing ISBN: 9781799870821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba5a19e94dc1b5c7a09c6c18707ceaa
https://doi.org/10.4018/978-1-7998-7082-1
https://doi.org/10.4018/978-1-7998-7082-1
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC related content in the engineering degrees at our university, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db8e761aa0c9d0e8f2b9f7eb6c16f44
Autor:
Rocío Carratalá Sáez
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
TDR: Tesis Doctorales en Red
CBUC, CESCA
TDR. Tesis Doctorales en Red
Universidad Politécnica de Madrid
TDR: Tesis Doctorales en Red
CBUC, CESCA
TDR. Tesis Doctorales en Red
Universidad Politécnica de Madrid
(English summary below) Las H-Matrices nacen como una potente herramienta numerica para abordar aplicaciones cuyos datos generan estructuras que se situan entre los escenarios densos y dispersos. El beneficio clave por el que las H-Matrices son valio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29d6a63401df572e7e1f4aecd5bfe0e
Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the spe
Autor:
Guillaume Sylvand, Mathieu Faverge, Enrique S. Quintana-Ortí, Grégoire Pichon, Rocío Carratalá-Sáez
Publikováno v:
IPDPS Workshops
In this paper, we describe and evaluate an extension of the Chameleon library to operate with hierarchical matrices (H-Matrices) and hierarchical arithmetic (H-Arithmetic), producing efficient solvers for linear systems arising in Boundary Element Me
Autor:
Rocío Carratalá-Sáez, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí, Andrés E. Tomás, Sandra Catalán
Publikováno v:
Parallel Computing
We investigate the introduction of look-ahead in two-stage algorithms for the singular value decomposition (SVD). Our approach relies on a specialized reduction for the first stage that produces a band matrix with the same upper and lower bandwidth i
Publikováno v:
EduHPC@SC
In this work we present the experience of the course "Build your own supercomputer with Raspberry Pi", offered as a non-mandatory workshop with the purpose of bringing High Performance Computing (HPC) closer to bachelor students of Universitat Jaume
Autor:
Rocío Carratalá-Sáez, Sven Christophersen, Steffen Börm, Vicenç Beltran, Enrique S. Quintana-Ortí, José Ignacio Aliaga
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universitat Jaume I
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] We address the parallelization of the LU factorization of hierarchical matrices (H-matrices) arising from boundary element methods. Our approach exploits task-parallelism via the OmpSs programming model and runtime, which discovers the data-flow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ba00c82468c8cd5b852b2dd63e1cbbc
http://hdl.handle.net/10234/182682
http://hdl.handle.net/10234/182682
Publikováno v:
IPDPS Workshops
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Task-parallelism has been exposed as an efficient approach for the solution of dense and sparse linear algebra problems. Hierarchical matrices lie in-between the dense and sparse scenarios and, therefore, it is natural to target this niche of problem
Autor:
Enrique S. Quintana-Ortí, José Ignacio Aliaga, Steffen Börm, Rocío Carratalá-Sáez, Sven Christophersen, Vicenç Beltran
Publikováno v:
Journal of Computational Science. 35:110