Listar por autor "Doallo, Ramón"

Mostrando ítems 61-80 de 89

    • On processing extreme data 

      Petcu, Dana; Iuhasz, Gabriel; Pop, Daniel; Talia, Domenico; Carretero, Jesús; Prodan, Radu; Fahringer, Thomas; Grasso, Ivan; Doallo, Ramón; Martín, María J.; 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 ...

    • Ontological Con guration Management for Wireless Mesh Routers 

      Díaz, Iván; Popi, Cristian; Festor, Olivier; Touriño, Juan; Doallo, Ramón (Springer, 2009)
      [Abstract] Wireless mesh networks (WMNs) are a category of wireless networks that are self-organized, robust and which offer more flexible client coverage with less equipment requirements than wired networks. In WMNs, mesh ...

    • Optimizing parcel exchange among landowners: A soft alternative to land consolidation 

      Teijeiro, Diego; Corbelle-Rico, Eduardo; Porta, Juan; Parapar López, Jorge; Doallo, Ramón (Elsevier, 2020-01)
      [Abstract]: For decades, public policy has favored the use of land consolidation to reduce the fragmentation of land ownership. Private actors, on the other hand, have focused on the purchase, rental and exchange of land ...

    • Parallel ant colony optimization for the training of cell signaling networks 

      González, Patricia; Prado-Rodriguez, Roberto; Gábor, Attila; Saez-Rodriguez, Julio; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)
      [Abstract]: Acquiring a functional comprehension of the deregulation of cell signaling networks in disease allows progress in the development of new therapies and drugs. Computational models are becoming increasingly popular ...

    • Parallel Hierarchical Radiosity on Hybrid Platforms 

      Padrón, Emilio J.; Amor, Margarita; Bóo, Montserrat; Doallo, Ramón; Rodríguez, Gabriel (Springer Verlag, 2011-12)
      [Abstract] Achieving an efficient realistic illumination is an important aim of research in computer graphics. In this paper a new parallel global illumination method for hybrid systems based on the hierarchical radiosity ...

    • Parallel Sparse Modified Gram-Schmidt QR Decomposition 

      Doallo, 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 ...

    • Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy 

      Penas, David R.; González, Patricia; Egea, Jose A.; Doallo, Ramón; Banga, Julio R. (BioMed Central Ltd., 2017)
      [Abstract] Background The development of large-scale kinetic models is one of the current key issues in computational systems biology and bioinformatics. Here we consider the problem of parameter estimation in nonlinear ...

    • Performance analysis of HPC applications in the cloud 

      Expósito, Roberto R.; Taboada, Guillermo L.; Ramos Garea, Sabela; Touriño, Juan; Doallo, Ramón (Elsevier BV * North-Holland, 2013-01)
      [Abstract] The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized environments. However, Infrastructure as a Service (IaaS) providers ...

    • Performance analysis of Java message-passing libraries on fast Ethernet, Myrinet and SCI clusters 

      Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón (IEEE Computer Society, 2004-01-08)
      [Abstract] The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will largely depend on the performance ...

    • Performance Evaluation of Data-Intensive Computing Applications on a Public IaaS Cloud 

      Expósito, Roberto R.; Taboada, Guillermo L.; Ramos Garea, Sabela; Touriño, Juan; Doallo, Ramón (Oxford University Press, 2016)
      [Abstract] The advent of cloud computing technologies, which dynamically provide on-demand access to computational resources over the Internet, is offering new possibilities to many scientists and researchers. Nowadays, ...

    • Performance Evaluation of MPI, UPC and OpenMP on Multicore Architectures 

      Mallón, Damián A.; Taboada, Guillermo L.; Teijeiro Barjas, Carlos; Touriño, Juan; Fraguela, Basilio B.; Gómez, Andrés; Doallo, 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 

      Taboada, Guillermo L.; Teijeiro Barjas, Carlos; Touriño, Juan; Fraguela, Basilio B.; Doallo, 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 ...

    • Population based metaheuristics in Spark: Towards a general framework using PSO as a case study 

      Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier, 2024-03)
      [Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ...

    • Program Behavior Characterization Through Advanced Kernel Recognition 

      Arenaz Silva, Manuel; Touriño, Juan; Doallo, Ramón (Springer, 2007)
      [Abstract] Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs (from now on, computational kernels) characterize the behavior of program ...

    • Running scientific codes on amazon EC2: a performance analysis of five high-end instances 

      Expósito, Roberto R.; Taboada, Guillermo L.; Pardo, Xoán C.; Touriño, Juan; Doallo, Ramón (Springer New York LLC, 2013)
      [Abstract] Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance ...

    • Self-adaptive Cooperation Scheme in a Parallel ACO Algorithm for Binary Combinatorial Problems 

      Prado-Rodríguez, Roberto; González, Patricia; Banga, Julio R.; Doallo, Ramón (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] The ant colony optimization (ACO) is widely used for combinatorial optimization problems, although it can suffer from fast convergence to local minima. In order to provide a versatile implementation of ACO, ...

    • Solving Large Problem Sizes of Index-Digit Algorithms on GPU: FFT and Tridiagonal System Solvers 

      Pérez Diéguez, Adrián; Amor, Margarita; Lobeiras Blanco, Jacobo; Doallo, Ramón (Institute of Electrical and Electronics Engineers, 2018)
      [Abstract] Current Graphics Processing Units (GPUs) are capable of obtaining high computational performance in scientific applications. Nevertheless, programmers have to use suitable parallel algorithms for these architectures ...

    • Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment 

      Pardo, Xoán C.; Argüeso-Alejandro, Pablo; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier BV, 2020-12)
      [Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems 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 ...