Browsing by Author "Doallo, Ramón"

Now showing items 41-60 of 88

    • General‐purpose computation on GPUs for high performance cloud computing 

      Expósito, Roberto R.; Taboada, Guillermo L.; Ramos Garea, Sabela; Touriño, Juan; Doallo, Ramón (John Wiley & Sons Ltd., 2013-08)
      [Abstract] Cloud computing is offering new approaches for High Performance Computing (HPC) as it provides dynamically scalable resources as a service over the Internet. In addition, General‐Purpose computation on Graphical ...

    • Guiding the Optimization of Parallel Codes on Multicores Using an Analytical Cache Model 

      Andrade, Diego; Fraguela, Basilio B.; Doallo, Ramón (2018)
      [Abstract]: Cache performance is particularly hard to predict in modern multicore processors as several threads can be concurrently in execution, and private cache levels are combined with shared ones. This paper presents ...

    • GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data 

      Deibe Seoane, David; Amor, Margarita; Doallo, Ramón; Miranda, David; Cordero, Miguel (Taylor & Francis, 2017)
      [Abstract] In recent years lidar technology has experienced a noticeable increase in its relevance and usage in a number of scientific fields. Therefore, software capable of handling lidar data becomes a key point in those ...

    • Heterogeneous distributed computing based on high-level abstractions 

      Viñas Buceta, Moisés; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (2018)
      [Abstract]: The rise of heterogeneous systems has given place to great challenges for users as they involve new concepts, restrictions, and frameworks. Their exploitation is further complicated in the context of distributed ...

    • High performance genetic algorithm for land use planning 

      Porta, Juan; Parapar López, Jorge; Doallo, Ramón; Fernández Rivera, Francisco; Santé, Inés; Crecente, Rafael (Pergamon Press, 2013)
      [Abstract] This study uses genetic algorithms to formulate and develop land use plans. The restrictions to be imposed and the variables to be optimized are selected based on current local and national legal rules and ...

    • High Productivity Multi-device Exploitation with the Heterogeneous Programming Library 

      Viñas Buceta, Moisés; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (Elsevier, 2016)
      [Abstract] Heterogeneous devices require much more work from programmers than traditional CPUs, particularly when there are several of them, as each one has its own memory space. Multidevice applications require to distribute ...

    • High-performance computing selection of models of DNA substitution for multicore clusters 

      Darriba, Diego; Taboada, Guillermo L.; Doallo, Ramón; Posada, David (Sage Publications Ltd., 2014)
      [Abstract] This paper presents the high-performance computing (HPC) support of jModelTest2, the most popular bioinformatic tool for the statistical selection of models of DNA substitution. As this can demand vast computational ...

    • HPF-2 Support for Dynamic Sparse Computations 

      Asenjo Plaza, Rafael; Plata, Oscar; Touriño, Juan; Zapata, Emilio L.; Doallo, Ramón (Springer, 1998)
      [Abstract] There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and involve row and column operations ...

    • 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 ...

    • Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications 

      Prado-Rodríguez, Roberto; González, Patricia; Banga, Julio R.; Doallo, Ramón (John Wiley & Sons, 2024)
      [Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ...

    • Interactive Visualization of Large Point Clouds Using an Autotuning Multiresolution Out-Of-Core Strategy 

      Teijeiro, Diego; Amor, Margarita; Doallo, Ramón; Deibe, David (Oxford University Press, 2023)
      [Abstract]: Due to the increasingly large amount of data acquired into point clouds, from LiDAR (Light Detection and Ranging) sensors and 2D/3D sensors, massive point clouds processing has become a topic with high interest ...

    • Java in the High Performance Computing arena: Research, practice and experience 

      Taboada, Guillermo L.; Ramos Garea, Sabela; Expósito, Roberto R.; Touriño, Juan; Doallo, Ramón (Elsevier BV, 2013-05-01)
      [Abstract] The rising interest in Java for High Performance Computing (HPC) is based on the appealing features of this language for programming multi-core cluster architectures, particularly the built-in networking and ...

    • Low‐latency Java communication devices on RDMA‐enabled networks 

      Expósito, Roberto R.; Taboada, Guillermo L.; Ramos Garea, Sabela; Touriño, Juan; Doallo, Ramón (John Wiley & Sons Ltd., 2015)
      [Abstract] Providing high‐performance inter‐node communication is a key capability for running high performance computing applications efficiently on parallel architectures. In fact, current systems deployments are aggregating ...

    • 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 ...

    • Non-blocking Java Communications Support on Clusters 

      Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón (Springer, 2006)
      [Abstract] This paper presents communication strategies for supporting efficient non-blocking Java communication on clusters. The communication performance is critical for the overall cluster performance. It is possible ...

    • NPB-MPJ: NAS Parallel Benchmarks Implementation for Message-Passing in Java 

      Mallón, Damián A.; Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón (IEEE Computer Society, 2009-05-08)
      [Abstract] Java is a valuable and emerging alternative for the development of parallel applications, thanks to the availability of several Java message-passing libraries and its full multithreading support. The combination ...

    • 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 ...