Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Alfredo Remón"'
Publikováno v:
Algorithms, Vol 6, Iss 4, Pp 857-870 (2013)
We address the numerical solution of Lyapunov, algebraic and differential Riccati equations, via the matrix sign function, on platforms equipped with general-purpose multicore processors and, optionally, one or more graphics processing units (GPUs).
Externí odkaz:
https://doaj.org/article/010d66d995f64d46bf7be91f96fcf35c
Autor:
Juan P. Silva, Ernesto Dufrechou, Pabl Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Peter Benner
Publikováno v:
CLEI Electronic Journal, Vol 19, Iss 1 (2016)
The high performance computing community has traditionally focused uniquely on the reduction of execution time, though in the last years, the optimization of energy consumption has become a main issue. A reduction of energy usage without a degradatio
Externí odkaz:
https://doaj.org/article/74b90c59bd384fc69822bc86d1420137
Publikováno v:
CLEI Electronic Journal, Vol 17, Iss 1 (2014)
We analyze the performance-power-energy balance of a conventional Intel Xeon mul- ticore processor and two low-power architectures –an Intel Atom processor and a sys- tem with a quad-core ARM Cortex A9+NVIDIA Quadro 1000M– using a high perfor- ma
Externí odkaz:
https://doaj.org/article/eea1750669be4d0597f8e6e7fdb504dc
Autor:
Jordi Uriel, Ana Ruescas, Sofia Iranzo, Alfredo Ballester, Eduardo Parrilla, Alfredo Remón, Sandra Alemany
Publikováno v:
Proceedings of the 7th International Digital Human Modeling Symposium.
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 12:1199-1203
In this letter, we introduce an efficient algorithm to estimate the noise correlation matrix in the initial stage of the hyperspectral signal identification by minimum error (H y S ime ) method, commonly used for signal subspace identification in rem
Autor:
Pablo Ezzatti, Ernesto Dufrechou, Peter Benner, Hermann Mena, Alfredo Remón, Enrique S. Quintana-Ortí
Publikováno v:
Computational Science and Its Applications – ICCSA 2017 ISBN: 9783319623917
ICCSA (1)
ICCSA (1)
The numerical treatment of the linear-quadratic optimal control problem requires the solution of Riccati equations. In particular, the differential Riccati equations (DRE) is a key operation for the computation of the optimal control in the finite-ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd090c73ee2133cfc05d2fd9b3d081d
https://doi.org/10.1007/978-3-319-62392-4_9
https://doi.org/10.1007/978-3-319-62392-4_9
Publikováno v:
The Journal of Supercomputing
Lyapack is a package for the solution of large-scale sparse problems arising in control theory. The package has a modular design, and is implemented as a Matlab toolbox, which renders it easy to utilize, modify and extend with new functionality. Howe
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319321486
PPAM (1)
PPAM (1)
In 1979, P. Huard presented an efficient variant of the Gauss-Jordan elimination for the solution of linear systems. In particular, this alternative algorithm exhibits the same computational cost as the traditional LU-based solver, and is considerabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27226443fcefbe61909fe2cf706cf37a
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783319495828
ICA3PP
ICA3PP
The Gauss-Huard algorithm (the GHA) is a specialized version of Gauss-Jordan elimination for the solution of linear systems that, enhanced with column pivoting, exhibits numerical stability and computational cost close to those of the conventional so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5419786a49b5147fddcaad08f6219f1
https://doi.org/10.1007/978-3-319-49583-5_30
https://doi.org/10.1007/978-3-319-49583-5_30
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783319499550
ICA3PP Workshops
ICA3PP Workshops
The optimization of dense linear algebra operations is a fundamental task in the solution of many scientific computing applications. The Roofline Model is a tool that provides an estimation of the performance that a computational kernel can attain on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be048f61256a4ef1c9afa20d7acb81ad
https://doi.org/10.1007/978-3-319-49956-7_2
https://doi.org/10.1007/978-3-319-49956-7_2