• RGen: Data Generator for Benchmarking Big Data Workloads 

      Pérez-Jove, Rubén; Expósito, Roberto R.; Touriño, Juan (MDPI, 2021)
      [Abstract] This paper presents RGen, a parallel data generator for benchmarking Big Data workloads, which integrates existing features and new functionalities in a standalone tool. The main functionalities developed in ...
    • Servet: A Benchmark Suite for Autotuning on Multicore Clusters 

      González-Domínguez, Jorge; López Taboada, Guillermo; Fraguela, Basilio B.; Martín, María J.; 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 ...
    • Sparse Givens QR Factorization on a Multiprocessor 

      Touriño, Juan; Doallo, Ramón; Zapata, E.L. (IEEE Computer Society, 1996-06-01)
      [Abstract] We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by means of Givens rotations. Nonzero elements of the matrix M to be decomposed are stored in a one dimensional ...
    • Sparse Householder QR factorization on a mesh 

      Doallo, Ramón; Touriño, Juan; Zapata, Emilio L. (IEEE Computer Society, 1996-01)
      [Abstract] We analyze the parallelization of QR factorization by means of Householder transformations. This parallelization is carried out on a machine with a mesh topology (a 2-D torus to be more precise). We use a cyclic ...
    • Synthesis of Multiresolution Scenes with Global Illumination on a GPU 

      Concheiro, Raquel; Amor, Margarita; Bóo, Montserrat; Iglesias, Iago; Padrón, Emilio J.; Doallo, Ramón (SciTePress, 2012-02)
      [Abstract] The radiosity computation has the important feature of producing view independent results, but these results are mesh dependent and, in consequence, are attached to a specific level of detail in the input mesh. ...
    • Texture Mapping on NURBS Surface 

      Vázquez Pardo, Sergio; Amor, Margarita (M D P I AG, 2018-09-17)
      [Abstract] Texture mapping allows high resolution details over 3D surfaces. Nevertheless, texture mapping has a number of unresolved problems such as distortion, boundary between textures or filtering. On the other hand, ...
    • The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds 

      Veiga, Jorge; López Taboada, Guillermo; Pardo, Xoán C.; Touriño, Juan (IEEE Computer Society, 2015-03-12)
      [Abstract] In the past several years, organizations have been changing their storage methods as the volume of data they managed has increased. The cloud computing paradigm offers new ways of storing data based on scalability ...
    • The New UPC++ DepSpawn High Performance Library for Data-Flow Computing with Hybrid Parallelism 

      Fraguela, Basilio B.; Andrade, Diego (Springer, 2022)
      [Abstract] Data-flow computing is a natural and convenient paradigm for expressing parallelism. This is particularly true for tools that automatically extract the data dependencies among the tasks while allowing to exploit ...
    • Towards Low-Latency Model-Oriented Distributed Systems Management 

      Díaz, Iván; Touriño, Juan; Doallo, Ramón (Springer, 2007)
      [Abstract] Windows and Unix systems have been traditionally very different with regard to configuration storage and management. In this paper we have adapted our CIM-based model-driven management framework, AdCIM, to ...
    • Using Artificial Vision Techniques for Individual Player Tracking in Sport Events 

      López Castro, Roberto; Andrade, Diego (M D P I AG, 2019-07-31)
      [Abstract] We introduce a hybrid approach that can track an individual football player in a video sequence. This solution achieves a good balance between speed and accuracy, combining traditional object tracking techniques ...
    • Using the Cloud for Parameter Estimation Problems: Comparing Spark vs MPI with a Case-Study 

      González, Patricia; Pardo, Xoán C.; Penas, David R.; Teijeiro, Diego; Banga, Julio R.; Doallo, Ramón (Institute of Electrical and Electronics Engineers, 2017-07-13)
      [Abstract] Systems biology is an emerging approach focused in generating new knowledge about complex biological systems by combining experimental data with mathematical modeling and advanced computational techniques. Many ...
    • VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores 

      López Castro, Roberto; Ivanov, Andrei; Andrade, Diego; Ben-Nun, Tal; Fraguela, Basilio B.; Hoefler, Torsten (Association for Computing Machinery, 2023-11)
      [Abstract]: The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compute efficiency, and accelerated ...