[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 ...

[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 ...

[EN] In this work we introduce new rational-polynomial Hermite matrix expansions which allow us to obtain a new accurate and efficient method for computing the matrix cosine. This method is compared with other state-of-the-art ...

[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 ...

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 ...

[EN] Automatic tuning methodologies have been used in the design of routines in recent years. The goal of these methodologies is to develop routines which automatically adapt to the conditions of the underlying computational ...

[EN] This paper presents an implementation of one of the most up-to-day algorithms proposed to compute the matrix trigonometric functions sine and cosine. The method used is based on Taylor series approximations which ...

[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 ...

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 ...

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 ...