Listar Grupo de Arquitectura de Computadores (GAC) por autor "Pardo, Xoán C."

Mostrando ítems 1-16 de 16

    • A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology 

      Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2017)
      [Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ...

    • An approach to support generic topologies in distributed PSO algorithms in Spark 

      Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Armando De Giusti, Marcelo Naiouf, Franco Chichizola, Enzo Rucci, Laura De Giusti. Universidad Nacional de La Plata. Facultad de Informática., 2023)
      [Abstract] Particle Swarm Optimization (PSO) is a popular population-based search algorithm that has been applied to all kinds of complex optimization problems. Although the performance of the algorithm strongly depends ...

    • An Efficient Ant Colony Optimization Framework for HPC Environments 

      González, Patricia; Osorio, Roberto; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)
      [Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ...

    • Evaluation of Parallel Differential Evolution Implementations on MapReduce and Spark 

      Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2017-09)
      [Abstract] Global optimization problems arise in many areas of science and engineering, computational and systems biology and bioinformatics among them. Many research efforts have focused on developing parallel metaheuristics ...

    • Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology 

      González, Patricia; Argüeso-Alejandro, Pablo; Penas, David R.; Pardo, Xoán C.; Sáez-Rodríguez, Julio; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2019-05-08)
      [Abstract] This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform ...

    • Implementing cloud-based parallel metaheuristics: an overview 

      González, Patricia; Pardo, Xoán C.; Doallo, Ramón; Banga, Julio R. (Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)
      [Abstract] Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ...

    • Implementing Parallel Differential Evolution on Spark 

      Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2016-04-02)
      [Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ...

    • Multimethod Optimization for Reverse Engineering of Complex Biological Networks 

      González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Association for Computing Machinery, 2018-09)
      [Abstract] Optimization problems appears in different areas of science and engineering. This paper considers the general problem of reverse engineering in computational biology by means of mixed-integer nonlinear dynamic ...

    • Multimethod optimization in the cloud: A case‐study in systems biology modelling 

      González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Wiley, 2018-06-25)
      [Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ...

    • Performance Evaluation of Big Data Frameworks for Large-Scale Data Analytics 

      Veiga, Jorge; Expósito, Roberto R.; Pardo, Xoán C.; Taboada, Guillermo L.; Touriño, Juan (IEEE Computer Society, 2017-02-06)
      [Abstract] The increasing adoption of Big Data analytics has led to a high demand for efficient technologies in order to manage and process large datasets. Popular MapReduce frameworks such as Hadoop are being replaced by ...

    • 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 ...

    • 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 ...

    • 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 ...

    • The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds 

      Veiga, Jorge; Taboada, Guillermo L.; 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 ...

    • Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark 

      Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Sage Publications Ltd., 2016-11-28)
      [Abstract] Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...

    • 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 ...