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 ...
Romero, Julio A.; Sanchis, Roberto(Universitat Politècnica de València, 2011-01-04)
[EN] This paper presents a methodology to evaluate PID auto-tuning algorithms. For that, several indexes are defined to measure the performance of the algorithms in both, the experiment and the control phases. The proposed ...
[EN] Tuning and optimising the operations executed in deep learning frameworks is a fundamental task in accelerating the processing of deep neural networks (DNNs). However, this optimisation usually requires extensive ...
Torres Huesca, Francisco José(Universitat Politècnica de València, 2024-10-15)
[ES] Este trabajo final de grado tiene como finalidad el desarrollo de un sistema de auto-ajuste de parámetros de control mediante optimización global empleando algoritmos genéticos, utilizando un sistema de auto-piloto ...
Cámara, Jesús; Cuenca, Javier; Giménez, Domingo; García, Luis Pedro; Vidal Maciá, Antonio Manuel(Springer Verlag (Germany), 2014-06)
The introduction of auto-tuning techniques in linear algebra shared-memory routines is analyzed. Information obtained in the installation of the routines is used at running time to take some decisions to reduce the total ...
[EN] In this paper three PID auto-tuning algorithms which are mainly focused on the disturbance rejection problem are compared. The algorithms differ in both the experiments carried out to obtain information of the process ...