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Browsing by Author "Alonso Jordá, Pedro"

Now showing items 1-20 of 38

A multicore solution to Block-Toeplitz linear systems of equations

Alonso-Jordá, Pedro; Argüelles, Daniel; Ranilla, José; Vidal Maciá, Antonio Manuel (Springer Verlag (Germany), 2013-09)

There exist algorithms, also called "fast" algorithms, which exploit the special structure of Toeplitz matrices so that, e.g., allow to solve a linear system of equations in O(n2) flops. However, some implementations of ...
A new efficient and accurate spline algorithm for the matrix exponential computation

Defez Candel, Emilio; Ibáñez González, Jacinto Javier; Sastre, Jorge; Peinado Pinilla, Jesús; Alonso-Jordá, Pedro (Elsevier, 2018)

[EN] In this work an accurate and efficient method based on matrix splines for computing matrix exponential is given. An algorithm and a MATLAB implementation have been developed and compared with the state-of-the-art ...
A Pipeline for the QR Update in Digital Signal Processing

Dolz, Manuel F.; Alventosa, Fran J.; Alonso-Jordá, Pedro; Vidal Maciá, Antonio Manuel (John Wiley & Sons, 2019)

[EN] The input and output signals of a digital signal processing system can often be represented by a rectangular matrix as it is the case of the beamformer algorithm, a very useful particular algorithm that allows extraction ...
A pipeline structure for the block QR update in digital signal processing

Dolz, Manuel F.; Alventosa, Fran J.; Alonso-Jordá, Pedro; Vidal Maciá, Antonio Manuel (Springer-Verlag, 2019)

[EN] There exist problems in the field of digital signal processing, such as filtering of acoustic signals that require processing a large amount of data in real time. The beamforming algorithm, for instance, is a process ...
Accelerating Multi-Channel Filtering of Audio Signal on ARM Processors

Belloch Rodríguez, José Antonio; Alventosa, Fran J.; Alonso-Jordá, Pedro; Quintana Ortí, Enrique Salvador; Vidal Maciá, Antonio Manuel (Springer Verlag (Germany), 2017-01)

Tablets and smart phones are nowadays equipped with low-power processor architectures such as the ARMv7 and the ARMv8 series. These processors integrate powerful SIMD units to exploit the intrinsic data-parallelism of ...
Aplicación para el análisis, estudio y publicación del comportamiento en la utilización de Valenbisi.

Llinares Llinares, Jordi (2019-10-30)

[ES] El trabajo realizado en este TFM ha consistido en realizar una aplicación que mediante el análisis de datos de los datos recopilados mediante la plataforma API APP CIUDAD obtenga unos resultados y los proporcione ...
Aprovechamiento del paralelismo de tareas en factorizaciones de matrices jerárquicas sobre procesadores multinúcleo

Carratalá Sáez, Rocío (2016-09-02)

[EN] Hierarchical matrices are a numerical tool for representing, in a sparse way and in a linear-logarithmic storage cost, dense problems that arise in integral and partial differential equations. For some basic linear ...
Assessing power monitoring approaches for energy and power analysis of computers

Diouri, Mohammed El Mehdi; Dolz Zaragozá, Manuel Francisco; Glück, Olivier; Lefèvre, Laurent; Alonso-Jordá, Pedro; Catalán, Sandra; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Elsevier, 2014-06)

Large-scale distributed systems (e.g., datacenters, HPC systems, clouds, large-scale networks, etc.) con- sume and will consume enormous amounts of energy. Therefore, accurately monitoring the power dissipation and energy ...
Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems

DO CARMO BORATTO, MURILO; Alonso-Jordá, Pedro; Giménez Cánovas, Domingo; Barreto, Marcos (Springer Verlag (Germany), 2014-11)

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 ...
Block pivoting implementation of a symmetric Toeplitz solver

Alonso-Jordá, Pedro; Dolz Zaragozá, Manuel Francisco; Vidal Maciá, Antonio Manuel (Elsevier, 2014-05-01)

Toeplitz matrices are characterized by a special structure that can be exploited in order to obtain fast linear system solvers. These solvers are difficult to parallelize due to their low computational cost and their closely ...
DVFS-control techniques for dense linear algebra operations on multi-core processors

Alonso-Jordá, Pedro; Dolz Zaragozá, Manuel Francisco; Igual, Francisco D.; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Springer Verlag (Germany), 2012-11)

[EN] This paper analyzes the impact on power con- sumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi- core processors. The strategies considered here, prototyped ...
Efficient and accurate algorithms for computing matrix trigonometric functions

Alonso-Jordá, Pedro; Ibáñez González, Jacinto Javier; Sastre Martinez, Jorge; Peinado Pinilla, Jesús; Defez Candel, Emilio (Elsevier, 2017-01)

[EN] Trigonometric matrix functions play a fundamental role in second order differential equations. This work presents an algorithm based on Taylor series for computing the matrix cosine. It uses a backward error analysis ...
Efficient Simulation of Spatio-temporal Dynamics in Ultrasonic Resonators

Alonso-Jordá, Pedro; Peinado Pinilla, Jesús; Pérez Arjona, Isabel; Sánchez Morcillo, Víctor José (Springer Verlag (Germany), 2011)

The simulation in computers of the evolution of pressure and temperature inside a cavity when acoustic energy is injected results in a very stiff and high time consuming application. The split-step method used for the ...
Energy-efficient execution of dense linear algebra algorithms on multi-core processors

Alonso-Jordá, Pedro; Dolz Zaragozá, Manuel Francisco; Mayo, Rafael; Quintana-Ortí, Enrique S. (Springer Verlag (Germany), 2013-09)

This paper addresses the efficient exploitation of task-level parallelism, present in many dense linear alge- bra operations, from the point of view of both computa- tional performance and energy consumption. The strategies ...
Enhancing performance and energy consumption of runtime schedulers for dense linear algebra

Alonso-Jordá, Pedro; Dolz Zaragozá, Manuel Francisco; Igual, Francisco D.; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Wiley, 2014-10)

The road towards Exascale Computing requires a holistic effort to address three different challenges simultaneously: high performance, energy efficiency, and programmability. The use of runtime task schedulers to orchestrate ...
Fast Band--Krylov Eigensolver for Macromolecular Functional Motion Simulation on Multicore Architectures and Graphics Processors

Aliaga, Jose I.; Alonso Jordá, Pedro; Badía Contelles, José Manuel; Chacon, Pablo; Davidovic, Davo; Lopez-Blanco, Jose R.; Quintana-Orti, Enrique S (Elsevier, 2016-03-15)

We introduce a new iterative Krylov subspace-based eigensolver for the simulation of macromolecular motions on desktop multithreaded platforms equipped with multicore processors and, possibly, a graphics accelerator ...
Generalization of the K-SVD algorithm for minimization of ß-divergence

García Mollá, Víctor Manuel; San Juan-Sebastian, Pablo; Virtanen, T.; Vidal Maciá, Antonio Manuel; Alonso-Jordá, Pedro (Elsevier, 2019)

[EN] In this paper, we propose, describe, and test a modification of the K-SVD algorithm. Given a set of training data, the proposed algorithm computes an overcomplete dictionary by minimizing the ß-divergence () between ...
High-performance computing: the essential tool and the essential challenge

Alonso-Jordá, Pedro; Ranilla, José; Vigo-Aguiar, Jesús (Springer-Verlag, 2017)

[EN] Prolog to the Journal of Supercomputing, volume 73, issue 1.
Identificación de piezas musicales en una base de datos

Mañogil López, José Manuel (2019-10-15)

[ES] Este proyecto se centra en el análisis y optimización de una aplicación C que realiza la búsqueda de una pieza de música clásica en una base de datos a partir de un fragmento dado de ésta. La idea principal es que ...
Modeling power and energy consumption of dense matrix factorizations on multicore processors

Alonso Jordá, Pedro; Dolz Zaragozá, Manuel Francisco; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Wiley, 2014-12)

[EN] In this paper, we propose a model for the energy consumption of the concurrent execution of three key dense matrix factorizations, with task parallelism leveraged via the Symmetric Multi-Processing Superscalar (SMPSs) ...