Listar por autor "Fernández-Vega, Iván"
Mostrando ítems 1-9 de 9
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Accelerating Time Series Analysis via Near-Data-Processing Approaches
(UMA Editorial, 2023)The explosion of the Internet-Of-Things and Big Data era has resulted in the continuous generation of a very large amount of data, which is increasingly difficult to store and analyze. Such a collection of data is also ... -
Accelerating time series motif discovery in the Intel Xeon Phi KNL processor.
Fernández-Vega, Iván; Villegas Fernández, Alejandro; Gutiérrez-Carrasco, Eladio Damián
; Plata-González, Óscar Guillermo (2020-02-11)
Time series analysis is an important research topic of great interest in many fields. However, the memory-bound nature of the state-of-the-art algorithms limits the execution performance in some processor architectures. ... -
Aceleración del análisis de series temporales en el procesador Intel Xeon Phi KNL
Fernández-Vega, Iván; Villegas Fernández, Alejandro; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2019)
El análisis de series temporales es un campo de investigación de gran interés con innumerables aplicaciones. Recientemente, el método Matrix Profile, y particularmente una de sus implementacio nes, el algoritmo SCRIMP, ... -
Desarrollo de un entorno de programación para un robot simulado Turtlebot-2 con brazo manipulador WIDOWX mediante la conexión V-REP y MATLAB
(2017-01-11)El objetivo principal de este Trabajo de Fin de Grado ha sido el de implementar un entorno de programación para un robot móvil Turtlebot-2 dotado de un brazo articulado WidowX. Para ello, se ha modelado este conjunto ... -
Exploiting Vector Extensions to Accelerate Time Series Analysis.
Quislant-del-Barrio, Ricardo; Fernández-Vega, Iván; Serralvo, Eduardo; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (SARTECO, 2022-09-21)
Time series analysis is an important research topic and a key step in monitoring and predicting events in many fields. Recently, the Matrix Profile method, and particularly two of its Euclidean-distance-based implementations ... -
NATSA: A Near-Data Processing Accelerator for Time Series Analysis.
Fernández-Vega, Iván; Quislant-del-Barrio, Ricardo; Giannoula, Christina; Alser, Mohammed; Gómez-Luna, Juan; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo; Mutlu, Onur[et al.] (IEEE, 2020)
El análisis de series temporales es una técnica clave para extraer y predecir sucesos en ámbitos tan diversos como la epidemiología, la genómica, la neurociencia, las ciencias medioambientales o la economía, entre otros. ... -
Time series analysis acceleration with advanced vectorization extensions
Quislant-del-Barrio, Ricardo; Fernández-Vega, Iván; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (Springer, 2023)
Time series analysis is an important research topic and a key step in monitoring and predicting events in many felds. Recently, the Matrix Profle method, and particularly two of its Euclidean-distance-based implementations—SCRIMP ... -
Time Series Analysis Using Transprecision Computing
(2019-09-11)This work presents results using transprecision techniques for reducing the precision of the computation of time series analysis. The developed benchmark allows to explore how the accuracy of the results is affected by ... -
TraTSA: A Transprecision Framework for Efficient Time Series Analysis
Fernández-Vega, Iván; Quislant-del-Barrio, Ricardo; González-Navarro, Sonia; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (Elsevier, 2022-09)
Time series analysis (TSA) comprises methods for extracting information in domains as diverse as medicine, seismology, speech recognition and economics. Matrix Profile (MP) is the state-of-the-art TSA technique, which ...