Listar por autor "González-Navarro, María Ángeles"
Mostrando ítems 1-10 de 10
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Aceleración basada en TBB de una aplicación de Análisis de Sentimientos en Twitter
(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 ... -
Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM
Romero Moreno, José Carlos; González-Navarro, María Ángeles
; Vilches Reina, Antonio; Corbera-Peña, Francisco Javier (Elsevier, 2021-12)
In this work, we study the problem of efficiently executing a state-of-the-art time series algorithm class – SCAMP – on a heterogeneous platform comprised of CPU + High Performance FPGA with integrated HBM (High Bandwidth ... -
Lightweight asynchronous scheduling in heterogeneous reconfigurable systems
Rodríguez-Moreno, Andrés; González-Navarro, María Ángeles; Nikov, Kris; Nunez-Yanez, José; Gran-Tejero, Rubén; Suárez Gracia, Darío; Asenjo-Plaza, Rafael[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 ... -
Scheduling strategies for parallel patterns on heterogeneous architectures
(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 ... -
SkyFlow: heterogeneous streaming for skyline computation using FlowGraph and SYCL
Romero, José Carlos; González-Navarro, María Ángeles; Rodríguez-Moreno, Andrés; Asenjo-Plaza, Rafael (Elsevier, 2022-11-24)
The skyline is an optimization operator widely used for multi-criteria decision making. It allows minimizing an n-dimensional dataset into its smallest subset. In this work we present SkyFlow, the first heterogeneous CPU+GPU ... -
Solving Large-Scale Markov Decision Processes on Low-Power Heterogeneous Platforms
Constantinescu, Denisa-Andreea; González-Navarro, María Ángeles; Corbera-Peña, Francisco Javier; 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; González-Navarro, María Ángeles; Rodríguez-Moreno, Andrés; 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 ... -
Towards energy efficiency and productivity for decision making in mobile robot navigation
(UMA Editorial, 2022-11)Our goal in this work is to make it easy and feasible to implement solutions for autonomous decision-making and planning under uncertainty on low-power mobile platforms. We focus on practical applications, such as autonomous ...