Listar por autoría "a97ef5f1-761a-40d5-b829-1071b6e0affc"

Mostrando ítems 1-20 de 24

    • openAccess   A framework for genomic sequencing on clusters of multicore and manycore processors 

      Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Tárraga, Joaquín; Medina, Ignacio; Dopazo, Joaquín; Quintana-Orti, Enrique S. Sage (2016-06)
      The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ...

    • closedAccess   A parallel solver for huge dense linear systems  

      Badía, José; Movilla, Jose L.; Climente, Juan I.; Castillo Catalán, María Isabel; Marqués-Andrés, Mercedes; Mayo, Rafael; Quintana-Orti, Enrique S.; Planelles, Josep Elsevier (2011-11)
      HDSS (Huge Dense Linear System Solver) is a Fortran Application Programming Interface (API) to facilitate the parallel solution of very large dense systems to scientists and engineers. The API makes use of parallelism to ...

    • openAccess   Aplicación sintética para el estudio de maleabilidad en computación de altas prestaciones 

      Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Castillo Catalán, María Isabel; Iserte, Sergio; Mayo, Rafael Universitat d'Alacant (2022)
      Hoy en día, la mejora del rendimiento en los grandes clusters de ordenadores recomienda el desarrollo de aplicaciones maleables. Así, durante la ejecución de estas aplicaciones en un trabajo, el sistema de gestión de ...

    • openAccess   Aprendizaje basado en proyectos y trabajo en equipo para mejorar las competencias básicas 

      Tomás, Vicente R.; Iserte, Sergio; Pérez-Francisco, Miguel; Boronat, Pablo; Castillo Catalán, María Isabel; García Fernández, Luis Amable Servicio de Publicaciones. Universidad de Zaragoza. (2021-10)
      El aprendizaje basado en proyectos es una técnica de enseñanza/aprendizaje que utiliza un proyecto como eje principal del proceso de aprendizaje. Este aprendizaje, combinado con el trabajo en equipo permite mejorar la ...

    • openAccess   Complete Integration of Team Project-Based Learning Into a Database Syllabus 

      Iserte, Sergio; Tomás, Vicente R.; Pérez-Francisco, Miguel; Castillo Catalán, María Isabel; Boronat, Pablo; García Fernández, Luis Amable IEEE (2022-11-07)
      Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work ...

    • openAccess   Concurrent and Accurate RNA Sequencing on Multicore Platforms 

      Martínez Pérez, Héctor; Tárraga, Joaquín; Medina, Ignacio; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Dopazo, Joaquín; Quintana-Orti, Enrique S. Departament d'Enginyeria i Ciència dels Computadors, Universitat Jaume I (2013-04-02)
      In this paper we introduce a novel parallel pipeline for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, named HPG-aligner1, leverages the speed of the Burrows-Whe ...

    • openAccess   Concurrent and Accurate Short Read Mapping on Multicore Processors 

      Martínez Pérez, Héctor; Tárraga, Joaquín; Medina, Ignacio; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Dopazo, Joaquín; Quintana-Orti, Enrique S. IEEE (2015-09)
      We introduce a parallel aligner with a work-flow organization for fast and accurate mapping of RNA sequences on servers equipped with multicore processors. Our software, HPG Aligner SA1, exploits a suffix array to rapidly ...

    • openAccess   Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner 

      Iserte, Sergio; Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Mayo, Rafael; Peña Monferrer, Antonio J. Springer (2018-09)
      Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ...

    • openAccess   Dynamic spawning of MPI processes applied to malleability 

      Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Castillo Catalán, María Isabel; Iserte, Sergio; Mayo, Rafael SAGE Publications (2023-05-29)
      Malleability allows computing facilities to adapt their workloads through resource management systems to maximize the throughput of the facility and the efficiency of the executed jobs. This technique is based on reconfiguring ...

    • openAccess   Evaluation and Tuning of the Level 3 CUBLAS for Graphics Processors 

      Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco D.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-01)
      The increase in performance of the last generations of graphics processors (GPUs) has made this class of platform a coprocessing tool with remarkable success in certain types of operations. In this paper we evaluate the ...

    • closedAccess   Exploiting the capabilities of modern GPUs for dense matrix computations 

      Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco D.; Mayo, Rafael; Quintana-Orti, Enrique S.; Quintana-Ortí, Gregorio John Wiley & Sons (2009)
      We present several algorithms to compute the solution of a linear system of equations on a graphics processor (GPU), as well as general techniques to improve their performance, such as padding and hybrid GPU-CPU computation. ...

    • openAccess   FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters 

      Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Quintana-Orti, Enrique S.; Rambla, Jordi; Farré, Xavier; Navarro, Arcadi Mary Ann Liebert (2018-08)
      We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear ...

    • openAccess   GLAME@lab: An M-script API for Linear Algebra Operations on Graphics Processors 

      Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Igual, Francisco D.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2008-02)
      We propose two high-level application programming interfaces (APIs) to use a graphics processing unit (GPU) as a coprocessor for dense linear algebra operations. Combined with an extension of the FLAME API and an ...

    • openAccess   Highly sensitive and ultrafast read mapping for RNA-seq analysis 

      Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Martínez Pérez, Héctor; Medina, Ignacio; Tárraga, Joaquín; Quintana-Orti, Enrique S.; Dopazo, Joaquín; Salavert Torres, José; Blanquer Espert, Ignacio; Paschall, J.; Hernández-García, V. Oxford University Press (2016)
      As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq ...

    • openAccess   Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy 

      Castillo Catalán, María Isabel; Fernández Fernández, Juan Carlos; Igual, Francisco D.; Plaza, Antonio; Quintana-Orti, Enrique S.; Remón Gómez, Alfredo IEEE (2014)
      Wider coverage of observation missions will increase onboard power restrictions while, at the same time, pose higher demands from the perspective of processing time, thus asking for the exploration of novel high-performance ...

    • openAccess   Incorporación de la Maleabilidad en un Método Iterativo 

      Martín Álvarez, Iker; Castillo Catalán, María Isabel; Aliaga Estellés, José Ignacio; Andrade, Diego Universidad de Málaga (2021)
      Este artículo compara las prestaciones de dos implementaciones paralelas del Gradiente Conjugado con maleabilidad. La maleabilidad permite que una aplicación reconfigure en tiempo de ejecución sus recursos, pudiendo ...

    • openAccess   Introducción a la arquitectura de computadores con QtARMSim y Arduino 

      Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Fabregat Llueca, German; Fernández Fernández, Juan Carlos; León Navarro, Germán; Martí Avilés, José Vicente; Mayo, Rafael; Montoliu Colás, Raul Publicacions de la Universitat Jaume I (2018)

    • closedAccess   Large-scale linear system solver using secondary storage: self-energy in hybrid nanostructures 

      Badía, José; Movilla, Jose L.; Climente, Juan I.; Castillo Catalán, María Isabel; Marqués-Andrés, Mercedes; Mayo, Rafael; Quintana-Orti, Enrique S.; Planelles, Josep Elsevier (2011-02)
      We present a Fortran library which can be used to solve large-scale dense linear systems, Ax=b. The library is based on the LU decomposition included in the parallel linear algebra library PLAPACK and on its out-of-core ...

    • closedAccess   Malleability Implementation in a MPI Iterative Method 

      Martín Álvarez, Iker; Aliaga Estellés, José Ignacio; Castillo Catalán, María Isabel; Mayo, Rafael; Iserte, Sergio IEEE (2021-09)
      In this poster is evaluated the data redistribution stage for two malleable versions of the Conjugate Gradient. One version is based on synchronous communications, while the other one uses asynchronous communications to ...

    • closedAccess   Out-of-core macromolecular simulations on multithreaded architectures 

      Aliaga Estellés, José Ignacio; Badía, José; Castillo Catalán, María Isabel; Davidovic, Davor; Mayo, Rafael; Quintana-Orti, Enrique S. Wiley (2015)
      We address the solution of large-scale eigenvalue problems that appear in the motion simulation o f com- plex macromolecules on multithreaded platforms, consisting of multicore processors and possibly a graphics processor ...