Estas son las colecciones en las que puede catalogar la producción investigadora del departamento Arquitectura de Computadores. Si considera que ninguna de estas se ajusta a su material pida una nueva colección en la sección de sugerencias.

Colecciones en esta comunidad

Envíos recientes

  • Towards energy efficiency and productivity for decision making in mobile robot navigation 

    Constantinescu, Denisa-Andreea (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 ...
  • Whole-Genome Assembly: An Experimental Study of Computational Costs and Architectural Opportunities 

    Espinosa, Elena; López-Fernández, Iván; Larrosa-Jiménez, Rafael; Plata-Gonzalez, Oscar Guillermo (2022)
    Whole-genome sequencing (WGS) pro- vides a huge amount of reads from which a comple- te genome could be assembled. The recent advent of long read sequencing technologies, such as PacBio and Oxford Nanopore, and the subsequent ...
  • Exploiting Vector Extensions to Accelerate Time Series Analysis 

    Quislant, Ricardo; Fernández-Vega, Iván; Serralvo, Eduardo; Gutierrez-Carrasco, Eladio Damian; Plata-Gonzalez, Oscar 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 ...
  • Diseño del compilador de la máquina virtual inmortal iVM 

    Gutierrez-Carrasco, Eladio Damian; Romero-Montiel, Sergio; Plata-Gonzalez, Oscar Guillermo (Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2022-09-21)
    Conservar la información digital durante mucho tiempo es difı́cil, incluso cuando se utiliza un medio de almacenamiento pasivo duradero, como una pelı́cula fotográfica almacenada en las condiciones adecuadas. En dicho ...
  • A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU 

    López Albelda, Bernabé; Castro, Francisco M.; Gonzalez-Linares, Jose Maria; Guil-Mata, Nicolas (José Cano, Phil Trinder, 2022-08)
    Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ...
  • TraTSA: A Transprecision Framework for Efficient Time Series Analysis 

    Fernández-Vega, Iván; Quislant, Ricardo; Gonzalez-Navarro, Sonia; Gutierrez-Carrasco, Eladio Damian; Plata, Óscar G. (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 ...
  • Edge AI Architectures for a Privacy-Preserving IoT Era 

    Atienza Alonso, David (2022-07-20)
    The Internet of Things (IoT) has been hailed as the next frontier of innovation where our everyday objects are connected in ways that improve our lives and transform industries, in particular healthcare. In this talk, Prof. ...
  • Novel parallel approaches to efficiently solve spatial problems on heterogeneous CPU-GPU systems 

    Sánchez Fernández, Andrés Jesús (UMA Editorial, 2022)
    In recent years, approaches that seek to extract valuable information from large datasets have become particularly relevant in today's society. In this category, we can highlight those problems that comprise data analysis ...
  • 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 ...
  • High-Radix Formats for Enhancing Floating-Point FPGA Implementations 

    Villalba-Moreno, Julio; Hormigo-Aguilar, Javier (Springer, 2021-12-02)
    This article proposes a family of high-radix floating-point representation to efficiently deal with floating-point addition in FPGA devices with no native floating-point sup port. Since variable shifter implementation ...
  • Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM 

    Romero Moreno, José Carlos; González Navarro, Mª Angeles; Vilches, 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 ...
  • CodSim 2.0: Un Laboratorio Virtual para la Enseñanza de las Codificaciones de Datos 

    Perez-Trabado, Guillermo; Gutierrez-Carrasco, Eladio Damian (SARTECO, 2021-09)
    Este artículo presenta la herramienta CodSim 2.0, un simulador de codificaciones de datos a nivel físico, dirigido a estudiantes de asignaturas de redes de computadores en grados en ingeniería Informática o Electrónica. El ...
  • Decomposition methods for mixed-integer nonlinear programming 

    Muts, Pavlo (UMA Editorial, 2021-11-05)
    La programación no lineal de enteros mixtos es un campo de optimización importante y desafiante. Este tipo de problemas pueden contener variables continuas e enteras, así como restricciones lineales y no lineales. Esta ...
  • Speculative Barriers with Transactional Memory 

    Pedrero Luque, Manuel; Quislant, Ricardo; Gutierrez-Carrasco, Eladio Damian; López-Zapata, Emilio; Plata-Gonzalez, Oscar Guillermo (IEEE, 2020-12-14)
    Transactional Memory (TM) is a synchronization model for parallel programming which provides optimistic concurrency control. Transactions can run in parallel and are only serialized in case of conflict. In this work we use ...
  • Genome sequence alignment in processing-In-memory architectures 

    Herruzo Ruiz, José Manuel (UMA Editorial, 2021-01-27)
    La combinación de la aparición de un cuello de botella en el acceso a los datos y la creciente importancia de las aplicaciones de procesamiento intensivo de datos, muy limitadas por el sistema de memoria, crea un importante ...
  • C++ for Heterogeneous Programming: oneAPI (DPC++ and oneTBB) 

    Reinders, James; Voss, Michael; Reble, Pablo; Asenjo-Plaza, Rafael (2020-11-19)
    This tutorial provides hands-on experience programming CPUs, GPUs and FPGAs using a unified, standards-based programming model: oneAPI. oneAPI includes a cross-architecture language: Data Parallel C++ (DPC++). DPC++ is an ...
  • Efficient floating-point givens rotation unit 

    Hormigo-Aguilar, Javier; Muñoz, Sergio (2020-10-23)
    High-throughput QR decomposition is a key operation in many advanced signal processing and communication applications. For some of these applications, using floating-point computation is becoming almost compulsory. However, ...
  • Accelerating time series motif discovery in the Intel Xeon Phi KNL processor 

    Fernández-Vega, Iván; Villegas, Alejandro; Gutierrez-Carrasco, Eladio Damian; Plata-Gonzalez, Oscar 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. ...
  • Evaluación Realista de Modelos de Aprendizaje Profundo para Imágenes Hiperespectrales 

    Haut, Juan Mario; Paoletti Avila, Mercedes Eugenia (2019-12-13)
    Con los recientes avances realizados en el campo de Observación de la Tierra (EO), el uso de información de detección remota capturada por sensores disponibles (ubicados en plataformas aéreas y / o satelitales) ha adquirido ...
  • Gait recognition and fall detection with inertial sensors 

    Delgado-Escaño, Rubén; Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolas (2019-11-26)
    In contrast to visual information that is recorded by cameras placed somewhere, inertial information can be obtained from mobile phones that are commonly used in daily life. We present in this talk a general deep learning ...

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