Listar por autor "Teijeiro Barjas, Carlos"

Mostrando ítems 1-9 de 9

    • Design and Implementation of an extended collectives library for unified Parallel C 

      Teijeiro Barjas, Carlos; Taboada, Guillermo L.; Touriño, Juan; Doallo, Ramón; Mouriño, José C.; Mallón, Damián A.; Wibecan, Brian (Springer New York LLC, 2013)
      [Abstract] Unified Parallel C (UPC) is a parallel extension of ANSI C based on the Partitioned Global Address Space (PGAS) programming model, which provides a shared memory view that simplifies code development while it ...

    • 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 ...

    • Extended collectives library for unified parallel C 

      Teijeiro Barjas, Carlos (2013)
      [Abstract] Current multicore processors mitigate single-core processor problems (e.g., power, memory and instruction-level parallelism walls), but they have raised the programmability wall. In this scenario, the use of a ...

    • High Performance Java Remote Method Invocation for Parallel Computing on Clusters 

      Taboada, Guillermo L.; Teijeiro Barjas, Carlos; Touriño, Juan (IEEE Computer Society, 2007-11-12)
      [Abstract] This paper presents a more efficient Java remote method invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited by the lack of efficient communication ...

    • Parallel Brownian dynamics simulations with the message-passing and PGAS programming models 

      Teijeiro Barjas, Carlos; Sutmann, Godehard; Taboada, Guillermo L.; Touriño, Juan (Elsevier BV, 2013-04)
      [Abstract] The simulation of particle dynamics is among the most important mechanisms to study the behavior of molecules in a medium under specific conditions of temperature and density. Several models can be used to compute ...

    • Parallel simulation of Brownian dynamics on shared memory systems with OpenMP and Unified Parallel C 

      Teijeiro Barjas, Carlos; Sutmann, Godehard; Taboada, Guillermo L.; Touriño, Juan (Springer New York LLC, 2013-09)
      [Abstract] The simulation of particle dynamics is an essential method to analyze and predict the behavior of molecules in a given medium. This work presents the design and implementation of a parallel simulation of Brownian ...

    • 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 ...

    • Scalable PGAS collective operations in NUMA clusters 

      Mallón, Damián A.; Teijeiro Barjas, Carlos; González-Domínguez, Jorge; Taboada, Guillermo L.; Gómez, Andrés (Springer New York LLC, 2014-12)
      [Abstract] The increasing number of cores per processor is turning manycore-based systems in pervasive. This involves dealing with multiple levels of memory in non uniform memory access (NUMA) systems and processor cores ...