Listar por autor "Gonzalez-Navarro, Maria Angeles"

Mostrando ítems 1-7 de 7

    • Aceleración basada en TBB de una aplicación de Análisis de Sentimientos en Twitter 

      Ledesma Jiménez, Susana (2020-03-17)
      El análisis de sentimientos es una técnica que permite extraer la polaridad(i.e.positividad,negatividad o neutralidad)de un texto.Esto unido al incremento del uso de las redes sociales hace que se auna técnica ideal ...

    • Lightweight asynchronous scheduling in heterogeneous reconfigurable systems 

      Rodriguez-Moreno, Andres; Gonzalez-Navarro, Maria Angeles; Nikov, Kris; Nunez-Yanez, José; Gran-Tejero, Rubén; [et al.] (Elsevier, 2022-03)
      The trend for heterogeneous embedded systems is the integration of accelerators and general-purpose CPU cores on the same die. In these integrated architectures, like the Zynq UltraScale+ board (CPU+FPGA) that we target ...

    • Optimización de la Entrada Salida mediante librerías y lenguajes paralelos 

      Larrosa-Jiménez, Rafael (Servicio de Publicaciones y Divulgación Científica, 2016)
      Uno de los grandes retos de la HPC (High Performance Computing) consiste en optimizar el subsistema de Entrada/Salida, (E/S), o I/O (Input/Output). Ken Batcher resume este hecho en la siguiente frase: "Un supercomputador ...

    • Planificación de recursos en un sistema distribuido de VoD 

      Gonzalez-Navarro, Sonia (2006)

    • Scheduling strategies for parallel patterns on heterogeneous architectures 

      Vilches Reina, Antonio (UMA Editorial, 2017)
      During the last decade, power consumption and energy efficiency have become key aspects in processor design. Nowadays, the power consumption is the principal limitation for further scaling of chip multiprocessors design ...

    • Solving Large-Scale Markov Decision Processes on Low-Power Heterogeneous Platforms 

      Constantinescu, Denisa-Andreea; Gonzalez-Navarro, Maria Angeles; Corbera, Francisco; Fernández-Madrigal, Juan Antonio; Asenjo-Plaza, Rafael (2019-07-11)
      Markov Decision Processes (MDPs) provide a framework for a machine to act autonomously and intelligently in environments where the effects of its actions are not deterministic. MDPs have numerous applications. We focus ...

    • Time Series Heterogeneous Co-execution on CPU+GPU 

      Romero, José Carlos; Gonzalez-Navarro, Maria Angeles; Rodriguez-Moreno, Andres; Asenjo-Plaza, Rafael; Cole, Murray (2019-07-10)
      Time series motif (similarities) and discords discovery is one of the most important and challenging problems nowadays for time series analytics. We use an algorithm called “scrimp” that excels in collecting the relevant ...