[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 ...

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 ...

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 ...

[ES] Los avances en el diseño y desarrollo de redes neuronales convolucionales profundas, así como el incremento de la precisión de las mismas en el campo de la visión artificial, ha supuesto su amplia adopción en un gran ...

[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 ...

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 ...

[EN] We evolve PyDTNN, a framework for distributed parallel training of Deep Neural Networks (DNNs), into an efficient inference tool for convolutional neural networks. Our optimization process on multicore ARM processors ...

[EN] In this paper we introduce a model for the total energy consumption of the Cholesky factorization on a multicore processor. Our model assumes a task- parallel execution of the factorization process, with con- currency ...

[ES] El presente trabajo de final de máster presenta una comparativa entre dos herramientas de paralelización de CPUs multi-core. El entorno de trabajo sobre el que se realiza la comparativa es un benchmark, una herramienta ...

Desde años, el principal objetivo de la computación de altas prestaciones ha sido la optimización de algoritmos aplicados a la resolución de problemas complejos que, constantemente, aparecen en un amplio abanico ...