• A Software Cache Autotuning Strategy for Dataflow Computing with UPC++ DepSpawn 

      Fraguela, Basilio B.; Andrade, Diego (Wiley, 2021)
      [Abstract] Dataflow computing allows to start computations as soon as all their dependencies are satisfied. This is particularly useful in applications with irregular or complex patterns of dependencies which would otherwise ...
    • Accelerating binary biclustering on platforms with CUDA-enabled GPUs 

      González-Domínguez, Jorge; Expósito, Roberto R. (Elsevier Ltd, 2018)
      [Abstract]: Data mining is nowadays essential in many scientific fields to extract valuable information from large input datasets and transform it into an understandable structure. For instance, biclustering techniques are ...
    • Accelerating the HyperLogLog Cardinality Estimation Algorithm 

      Bozkus, Cem; Fraguela, Basilio B. (Hindawi, 2017)
      [Abstract] In recent years, vast amounts of data of different kinds, from pictures and videos from our cameras to software logs from sensor networks and Internet routers operating day and night, are being generated. This ...
    • Affine Modeling of Program Traces 

      Rodríguez, Gabriel; Kandemir, Mahmut T.; Touriño, Juan (Institute of Electrical and Electronics Engineers, 2019-02-01)
      [Abstract] A formal, high-level representation of programs is typically needed for static and dynamic analyses performed by compilers. However, the source code of target applications is not always available in an analyzable ...
    • An Algorithm Template for Domain-Based Parallel Irregular Algorithms 

      González, Carlos H. (Springer, 2013)
      [Abstract] The parallelization of irregular algorithms has not been as widely studied as the one of regular codes. In particular, while there are many proposals of parallel skeletons and libraries very well suited to regular ...
    • An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks 

      Rico-Díaz, Ángel-José; Rabuñal, Juan R.; Gestal, M.; Mures, Omar A.; Puertas, Jerónimo (MDPI AG, 2020-10-27)
      [Abstract] A fish can be detected by means of artificial vision techniques, without human intervention or handling the fish. This work presents an application for detecting moving fish in water by artificial vision based ...
    • An automatic optimizer for heterogeneous devices 

      Fernández-Fabeiro, Jorge; Andrade, Diego; Fraguela, Basilio B.; Doallo, Ramón (Elsevier, 2020-05)
      [Abstract]: Codes written in a naive way seldom effectively exploit the computing resources, while writing optimized codes is usually a complex task that requires certain levels of expertise. This problem is further increased ...
    • 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 ...
    • An out-of-core method for GPU image mapping on large 3D scenarios of the real world 

      Jurado, Juan M.; Padrón, Emilio J.; Jiménez, J. Roberto; Ortega, Lidia (Elsevier, 2022)
      [Abstract] Image mapping on 3D huge scenarios of the real world is one of the most fundamental and computational expensive processes for the integration of multi-source sensing data. Recent studies focused on the observation ...
    • Analysis and evaluation of MapReduce solutions on an HPC cluster 

      Veiga, Jorge; Expósito, Roberto R.; López Taboada, Guillermo; Touriño, Juan (Pergamon Press, 2016-02)
      [Abstract] The ever growing needs of Big Data applications are demanding challenging capabilities which cannot be handled easily by traditional systems, and thus more and more organizations are adopting High Performance ...
    • Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform 

      Expósito, Roberto R.; López Taboada, Guillermo; Ramos Garea, Sabela; González-Domínguez, Jorge; Touriño, Juan; Doallo, Ramón (Springer Netherlands, 2013-12)
      [Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well ...
    • Analysis of Performance-impacting Factors on Checkpointing Frameworks: The CPPC Case Study 

      Rodríguez, Gabriel; Martín, María J.; Touriño, Juan; González, Patricia (Oxford University Press, 2011-11-01)
      [Abstract] This paper focuses on the performance evaluation of Compiler for Portable Checkpointing (CPPC), a tool for the checkpointing of parallel message-passing applications. Its performance and the factors that impact ...
    • Assessing resilient versus stop-and-restart fault-tolerant solutions in MPI applications 

      Losada, Nuria; Martín, María J.; González, Patricia (Springer New York LLC, 2017-01)
      [Abstract] The Message Passing Interface (MPI) standard is the most popular parallel programming model for distributed systems. However, it lacks fault-tolerance support and, traditionally, failures are addressed with ...
    • Assessment, Design and Implementation of a Private Cloud for MapReduce Applications 

      Salgueiro, M.; González, Patricia; Fernández Pena, Tomás; Cabaleiro, J.C. (Stowarzyszenie Komputerowej Nauki o Materialach i Inzynierii Powierzchni,Association of Computational Materials Science and Surface Engineering, 2014)
      [Abstract] Scientific computation and data intensive analyses are ever more frequent. On the one hand, the MapReduce programming model has gained a lot of attention for its applicability in large parallel data analyses and ...
    • Automated and accurate cache behavior analysis for codes with irregular access patterns 

      Andrade, Diego; Arenaz Silva, Manuel; Fraguela, Basilio B.; Touriño, Juan; Doallo, 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, María J.; 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 ...
    • BDEv 3.0: energy efficiency and microarchitectural characterization of Big Data processing frameworks 

      Veiga, Jorge; Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (Elsevier BV * North-Holland, 2018-09)
      [Abstract] As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance bottlenecks that may delay the processing of large ...
    • BDWatchdog: real-time monitoring and profiling of Big Data applications and frameworks 

      Enes, Jonatan; Expósito, Roberto R.; Touriño, Juan (Elsevier BV * North-Holland, 2018-10)
      [Abstract] Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively improve their performance there is a critical need for ...
    • Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (M D P I AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...
    • Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (MDPI AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...