Now showing items 1-15 of 15

    • A portable and adaptable fault tolerance solution for heterogeneous applications 

      Losada, Nuria; Fraguela, Basilio B.; González Gómez, Patricia; Martín Santamaría, María José (Academic Press, 2017-06)
      [Abstract] Heterogeneous systems have increased their popularity in recent years due to the high performance and reduced energy consumption capabilities provided by using devices such as GPUs or Xeon Phi accelerators. This ...
    • Analysis of interval‐grouped data in weed science: The binnednp Rcpp package 

      Barreiro-Ures, Daniel; Francisco-Fernández, Mario; Cao, Ricardo; Fraguela, Basilio B.; Doallo, Ramón; González-Andújar, José Luis; Reyes, Miguel (John Wiley & Sons Ltd., 2019-09-13)
      [Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ...
    • Automated and accurate cache behavior analysis for codes with irregular access patterns 

      Andrade, Diego; Arenaz Silva, Manuel; Fraguela, Basilio B.; Touriño, Juan; Doallo Biempica, Ramón (John Wiley & Sons Ltd., 2007-04-03)
      [Abstract] The memory hierarchy plays an essential role in the performance of current computers, so good analysis tools that help in predicting and understanding its behavior are required. Analytical modeling is the ideal ...
    • Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite 

      González-Domínguez, Jorge; López Taboada, Guillermo; Fraguela, Basilio B.; Martín Santamaría, María José; Touriño, Juan (Pergamon Press, 2012-03)
      [Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ...
    • Enhanced global optimization methods applied to complex fisheries stock assessment models 

      Penas, David R.; Gómez, Andrés; Fraguela, Basilio B.; Martín Santamaría, María José; Cerviño, Santiago (Elsevier BV, 2019-04)
      [Abstract] Statistical fisheries models are frequently used by researchers and agencies to understand the behavior of marine ecosystems or to estimate the maximum acceptable catch of different species of commercial interest. ...
    • High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn 

      Fraguela, Basilio B.; Andrade, Diego (Springer, 2021)
      [Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library ...
    • Modelado analítico del comportamiento de memorias caché 

      Fraguela, Basilio B. (1999)
      [Resumen] El principal cuello de botella que limita las tasas de computación que pueden alcanzar los sistemas actuales radica en la diferencia creciente de velocidad entre el procesador y las memorias, Para responder ...
    • Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models 

      Vázquez Pardo, Sergio; Martín Santamaría, María José; Fraguela, Basilio B.; Gómez, Andrés; Rodríguez, Aurelio; Elvarsson, Bjarki Þór (Elsevier Ltd, 2016-11)
      [Abstract] Estimating parameters of a statistical fisheries assessment model typically involves a comparison of disparate datasets to a forward simulation model through a likelihood function. In all but trivial cases the ...
    • On processing extreme data 

      Petcu, Dana; Iuhasz, Gabriel; Pop, Daniel; Talia, Domenico; Carretero, Jesús; Prodan, Radu; Fahringer, Thomas; Grasso, Ivan; Doallo Biempica, Ramón; Martín Santamaría, María José; Fraguela, Basilio B.; Trobec, Roman; Depolli, Matjaz; Almeida Rodriguez, Francisco; Sande, Francisco de; Da Costa, Georges; Pierson, Jean-Marc; Anastasiadis, Stergios; Bartzokas, Aristides; Lolis, Christos; Gonçalves, Pedro; Brito, Fabrice; Brown, Nick (Universitatea de Vest din Timisoara,West University of Timisoara, 2016)
      [Abstract] Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in near real-time by using a very large number of memory or storage ...
    • OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA 

      López Castro, Roberto; Andrade, Diego; Fraguela, Basilio B. (MDPI, 2021)
      [Abstract] Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The ...
    • Parallel Sparse Modified Gram-Schmidt QR Decomposition 

      Doallo Biempica, Ramón; Fraguela, Basilio B.; Touriño, Juan; Zapata, Emilio L. (Springer, 1996)
      [Abstract] We present a parallel computational method for the QR decomposition with column pivoting of a sparse matrix by means of Modified Gram-Schmidt orthogonalization. Nonzero elements of the matrix M to be decomposed ...
    • Performance Evaluation of MPI, UPC and OpenMP on Multicore Architectures 

      Mallón, Damián A.; López Taboada, Guillermo; Teijeiro Barjas, Carlos; Touriño, Juan; Fraguela, Basilio B.; Gómez, Andrés; Doallo Biempica, Ramón; Mouriño, José C. (Springer, 2009)
      [Abstract] The current trend to multicore architectures underscores the need of parallelism. While new languages and alternatives for supporting more efficiently these systems are proposed, MPI faces this new challenge. ...
    • Performance Evaluation of Unified Parallel C Collective Communications 

      López Taboada, Guillermo; Teijeiro Barjas, Carlos; Touriño, Juan; Fraguela, Basilio B.; Doallo Biempica, Ramón; Mouriño, José C.; Mallón, Damián A.; Gómez, Andrés (IEEE Computer Society, 2009-07-17)
      [Abstract] Unified Parallel C (UPC) is an extension of ANSI C designed for parallel programming. UPC collective primitives, which are part of the UPC standard, increase programming productivity while reducing the communication ...
    • ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems 

      Fraguela, Basilio B.; Andrade, Diego; González-Domínguez, Jorge (SpringerLink, 2021-03-19)
      [Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ...
    • Servet: A Benchmark Suite for Autotuning on Multicore Clusters 

      González-Domínguez, Jorge; López Taboada, Guillermo; Fraguela, Basilio B.; Martín Santamaría, María José; Touriño, Juan (Institute of Electrical and Electronics Engineers, 2010-05-24)
      [Abstract] MapReduce is a powerful tool for processing large data sets used by many applications running in distributed environments. However, despite the increasing number of computationally intensive problems that require ...