• 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-del-Barrio, 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 ...

• 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 ...

• 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 ...

• 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. ...

• 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 ...

• Gait recognition applying Incremental learning 

  Castro, Francisco M.; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolas; Schmid, Cordelia; Alahari, Karteek (2019-11-25)

  when new knowledge needs to be included in a classifier, the model is retrained from scratch using a huge training set that contains all available information of both old and new knowledge. However, in this talk, we present ...

• Towards the intelligent diagnosis of hematological diseases 

  Díaz-Del-Pino, Sergio; Trelles-Martínez, Roberto; Perez-Wohlfeil, Esteban; Trelles-Salazar, Oswaldo Rogelio (2019-11-18)

  In traditional medicine, patient diagnosis usually implies an in depth study of its state and symptoms that a specialist has to carry out. The adaptation and customization of the medical treatment to those individual ...

• GPUs for high performance computing, Deep learning and beyond 

  Ujaldon-Martinez, Manuel (2019-10-24)

  After an impressive evolution within the last decade, Graphics Processing Units (GPUs) constitute nowadays a solid trend to accelerate scientific applications. This talk unveils the GPU architecture from an ...

• Tasks Fairness Scheduler for GPU 

  López Albelda, Bernabé; Gonzalez-Linares, Jose Maria; Guil-Mata, Nicolas (2019-09-24)

  Nowadays GPU clusters are available in almost every data processing center. Their GPUs are typically shared by different applications that might have different processing needs and/or different levels of priority. As current ...

• Barreras especulativas con memoria transaccional 

  Pedrero-Luque, Manuel; Quislant-del-Barrio, Ricardo; Eladio, Gutiérrez; López-Zapata, Emilio; Plata-Gonzalez, Oscar Guillermo (Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2019)

  La Memoria Transaccional (TM) es una alternativa al modelo de programación basado en locks que pretende simplificar la programación paralela. TM sustituye locks por transacciones para resolver el problema de la exclusión ...

• Aceleración del análisis de series temporales en el procesador Intel Xeon Phi KNL 

  Fernández-Vega, Iván; Villegas, Alejandro; Gutierrez-Carrasco, Eladio Damian; Plata-Gonzalez, Oscar 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, ...

• Reorganización de matrices en algoritmos de barrido radial sobre Modelos Digitales del Terreno 

  Sánchez, Andrés Jesús; Romero-Gomez, Luis Felipe; Tabik, Siham; Bandera-Burgueño, Gerardo (2019-09-23)

  Es muy frecuente, en los sistemas de información geográfica que trabajan con modelos digitales del terreno, el uso de algoritmos de barrido radial para el estudio de variables asociadas a parámetros cuya magnitud decrece ...

• Aceleración de Time-Series sismográficas en Python 

  López-Muñoz, Francisco Javier; Grass, Thomas; Asenjo-Plaza, Rafael; Navarro, Ángeles (Miguel Angel Vega Rodríguez y Antonio J. Plaza Miguel, 2019)

  Python se ha convertido en un lenguaje de programación muy popular, pero también es uno de los menos eficientes en términos de prestaciones y consumo energético. Este artículo describe el proceso que hemos seguido para ...

• Time Series Analysis Using Transprecision Computing 

  Fernández-Vega, Iván (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 ...

• On computational procedures for Value Iteration in inventory control 

  Kortenhorst, Cleo; Ortega, Gloria L; Hendrix, Eligius Maria Theodorus (2019-09-11)

  Dynamic programming (DP) is often seen in inventory control to lead to optimal ordering policies. When considering stationary demand, Value Iteration (VI) may be used to derive the best policy. In this paper, our focus is ...

• A weakly-supervised approach for discovering common objects in airport video surveillance footage 

  Castro Payan, Francisco Manuel; Delgado-Escaño, Rubén; Guil-Mata, Nicolas; Marín-Jiménez, Manuel J. (2019-07-22)

  Object detection in video is a relevant task in computer vision. Standard and current detectors are typically trained in a strongly supervised way, what requires a huge amount of labelled data. In contrast, in this paper ...

• 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 ...

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