Ara es mostren els items 1-10 de 10

  • Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems 

    Aliaga, José Ignacio; Barreda, María; Dolz, Manuel F.; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana Ortí, Enrique Salvador (Kluwer Academic Publishers, 2014-12-01)
    Article
    Accés restringit per política de l'editorial
    We investigate the benefits that an energy-aware implementation of the runtime in charge of the concurrent execution of ILUPACK—a sophisticated preconditioned iterative solver for sparse linear systems—produces on the ...
  • Block recursive LU preconditioners for the thermally coupled incompressible inductionless MHD problem 

    Badia, Santiago; Martín Huertas, Alberto Francisco; Planas Badenas, Ramon (2013)
    Report de recerca
    Accés obert
    The thermally coupled incompressible inductionless magnetohydrodynamics (MHD) problem models the ow of an electrically charged fuid under the in uence of an external electromagnetic eld with thermal coupling. This system ...
  • Design, tuning and evaluation of parallel multilevel ILU preconditioners 

    Aliaga, José Ignacio; Bollhoefer, Matthias; Martín Huertas, Alberto Francisco; Quintana-Ortí, Enrique Salvador (2008)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    In this paper, we present a parallel multilevel ILU preconditioner implemented with OpenMP. We employ METIS partitioning algorithms to decompose the computation into concurrent tasks, which are then scheduled to threads. ...
  • Enhanced balancing Neumann-Neumann preconditioning in computational fluid and solid mechanics 

    Badia, Santiago; Martín Huertas, Alberto Francisco; Principe, Ricardo Javier (2012)
    Report de recerca
    Accés obert
    Manuscript submitted for publication in International Journal for Numerical Methods in Engineering. Under review.
  • Implementation and scalability analysis of balancing domain decomposition methods 

    Badia, Santiago; Martín Huertas, Alberto Francisco; Principe, Ricardo Javier (2012)
    Report de recerca
    Accés obert
    Manuscript submitted for publication in SIAM Journal of Scientific Computing. Under Review.
  • Leveraging Task-Parallelism in Energy-Efficient ILU preconditioners 

    Aliaga, José Ignacio; Dolz Zaragozá, Manuel Francisco; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana-Ortí, Enrique Salvador (Springer, 2012)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    We analyze the energy-performance balance of a task-parallel computation of an ILU-based preconditioner for the solution of sparse linear systems on multi-core processors. In particular, we elaborate a theoretical model ...
  • Leveraging task-parallelism in message-passing dense matrix factorizations using SMPSs 

    Martín Huertas, Alberto Francisco; Reyes, Ruyman; Badia Sala, Rosa Maria; Quintana Ortí, Enrique Salvador (2014-05)
    Article
    Accés obert
    In this paper, we investigate how to exploit task-parallelism during the execution of the Cholesky factorization on clusters of multicore processors with the SMPSs programming model. Our analysis reveals that the major ...
  • Multilevel balancing domain decomposition at extreme scales 

    Badia, Santiago; Martín Huertas, Alberto Francisco; Principe, Ricardo Javier (2016-01-01)
    Article
    Accés obert
    © 2016 Society for Industrial and Applied Mathematics. In this paper we present a fully distributed, communicator-aware, recursive, and interlevel-overlapped message-passing implementation of the multilevel balancing domain ...
  • On the scalability of inexact balancing domain decomposition by constraints with overlapped coarse/fine corrections 

    Badia, Santiago; Martín Huertas, Alberto Francisco; Principe, Ricardo Javier (2015-12)
    Article
    Accés restringit per política de l'editorial
    In this work, we analyze the scalability of inexact two-level balancing domain decomposition by constraints (BDDC) preconditioners for Krylov subspace iterative solvers, when using a highly scalable asynchronous parallel ...
  • Symmetric rank-k update on clusters of multicore processors with SMPSs 

    Badia Sala, Rosa Maria; Labarta Mancho, Jesús José; Marjanovic, Vladimir; Martín Huertas, Alberto Francisco; Mayo, Rafael; Quintana-Ortí, Enrique Salvador; Reyes, Ruymán (IOS Press, 2011)
    Comunicació de congrés
    Accés obert
    We investigate the use of the SMPSs programming model to leverage task parallelism in the execution of a message-pas sing implementation of the symmetric rank- k update on clusters equipped with multicore processors. Our ...