ListarGI-GAC - Congresos, conferencias, etc. por tema "MapReduce"

Mostrando ítems 1-5 de 5

    • Design and Implementation of MapReduce using the PGAS Programming Model with UPC 

      Teijeiro Barjas, Carlos; Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón (IEEE Computer Society, 2012-01-03)
      [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 ...

    • Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data 

      Expósito, Roberto R.; Veiga, Jorge; Touriño, Juan (Springer, 2020)
      [Abstract]: Java has been the backbone of Big Data processing for more than a decade due to its interesting features such as object orientation, cross-platform portability and good programming productivity. In fact, most ...

    • 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 ...

    • MREv: An Automatic MapReduce Evaluation Tool for Big Data Workloads 

      Veiga, Jorge; Expósito, Roberto R.; Taboada, Guillermo L.; Touriño, Juan (Elsevier, 2015)
      [Abstract]: The popularity of Big Data computing models like MapReduce has caused the emergence of many frameworks oriented to High Performance Computing (HPC) systems. The suitability of each one to a particular use case ...

    • 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 ...