Vasconcelos, Paulo B.; d'Almeida, Filomena D.; Román Moltó, José Enrique(Springer Verlag (Germany), 2013-09)
We propose two iterative numerical methods for eigenvalue computations of large dimensional problems arising from finite approximations of integral operators, and describe their parallel implementation. A matrix representation ...
[EN] A parallel algorithm for image noise removal is proposed. The algorithm is based on peer group concept and uses a fuzzy metric. An optimization study on the use of the CUDA platform to remove impulsive noise using ...
Auto-tuning techniques have been used in the design of routines in recent years. The goal is to develop routines which automatically adapt to the conditions of the computational system in such a way that efficient executions ...
A good strategy to test a software component involves the generation of the whole
set of cases that participate in its operation. While testing only individual values
may not be enough, exhaustive testing of all possible ...
Ramos Peinado, Enrique; Román Moltó, José Enrique; Abarca Giménez, Agustín; Miró Herrero, Rafael; Bermejo, Juan A.(Elsevier, 2016-01)
In order to reduce the response time when simulating large reactors in detail, a parallel version of the
thermal–hydraulic subchannel code COBRA-TF (CTF) has been developed using the standard Message
Passing Interface ...
The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic
conductivity characterization using transient piezometric head data. and it is proved that the EnKF is
computationally ...
[ES] En este trabajo se ha realizado un estudio de la teoría asociada a la decodificación de lista y a los
códigos Reed-Solomon, así como de los algoritmos que llevan a cabo esa decodificación y de la teoría
asociada a ...
A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computing is proposed. The parallel denoising algorithm is based on the peer group concept and uses an Euclidean metric. In order ...
The use of atomistic methods, such as the Continuous Cellular Automaton (CCA), is currently regarded as a computationally efficient and experimentally accurate approach for the simulation of anisotropic etching of various ...
Guerrero López, David; Román Moltó, José Enrique(IEEE, 2015-06-16)
This paper shows part of the work carried out
to develop parallel versions of the SLICOT routines for model
reduction of stable systems. In particular, the routines that have
been parallelised are those based on the ...
[ES] Un modelo de estimación de rendimiento predice el coste de un algoritmo a partir de una serie de parámetros. En el
campo de la computación paralela en CPU se dispone de múltiples modelos para realizar esta estimación ...
[EN] The Department of Mechanical and Materials Engineering has developed a 2D Finite Element code based
on geometry independent Cartesian grids (cgFEM) capable of solving shape optimization problems as
well as making ...
Xu, Teng; Gómez-Hernández, J. Jaime; Li ., Liangping; Zhou ., Haiyan(Elsevier, 2013-03)
[EN] The ensemble Kalman filter (EnKF) is nowadays recognized as an excellent inverse method for hydraulic conductivity characterization using transient piezometric head data. Its implementation is well suited for a parallel ...
Alonso, P.; García Mollá, Víctor Manuel; Martínez Zaldívar, Francisco José; Salazar Afanador, Addisson; Vergara Domínguez, Luís; Vidal Maciá, Antonio Manuel(Springer Verlag (Germany), 2014-11)
We tackle the parallelization of Non-Negative Matrix Factorization (NNMF), using the Alternating Least Squares and Lee and Seung algorithms, motivated by its use in audio source separation. For the first algorithm, a very ...
Campos, Carmen; Román Moltó, José Enrique(Wiley, 2016-08)
Methods for the polynomial eigenvalue problem sometimes need to be followed by an iterative refinement process to improve the accuracy of the computed solutions. This can be accomplished by means of a Newton iteration ...
Campos, Carmen; Román Moltó, José Enrique(Society for Industrial and Applied Mathematics, 2016)
Polynomial eigenvalue problems are often found in scientific computing applications. When the coefficient matrices of the polynomial are large and sparse, usually only a few eigenpairs are required and projection methods ...
Ramiro Sánchez, Carla; López-Espín, José J.; Giménez, Domingo; Vidal, Antonio M.(2012-03-06)
Today it is usual to have computational systems formed by a multicore together with one or more GPUs. These systems are heterogeneous, due to the di erent types of memory in the GPUs and to the di erent speeds of computation ...
The parallelization of the finite-difference time-domain (FDTD) method for room acoustic simulation using graphic processing units (GPUs) has been subject of study even prior to the introduction of GPGPU (general-purpose ...
Muñoz-Montoro, A. J.; Ranilla, J.; Vera-Candeas, P.; Combarro, E. F.; Alonso-Jordá, Pedro(Springer-Verlag, 2019)
[EN] This paper presents a parallel real-time sound source separation system for decomposing an audio signal captured with a single microphone in so many audio signals as the number of instruments that are really playing. ...
López Espín, José Juan; Vidal Maciá, Antonio Manuel; Giménez ., Domingo(Elsevier, 2012-09)
This paper analyzes the solution of simultaneous equations models. Efficient algorithms for the two-stage least squares method using QR-decomposition are developed and studied. The reduction of the execution time when the ...