ListarICC_Articles por tema "ILUPACK"

Mostrando ítems 1-4 de 4

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

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dolz, Manuel F.; Martín Huertas, Alberto F.; Mayo, Rafael; Quintana-Orti, Enrique S. Springer US (2014)
      We investigate the benefits that an energyaware implementation of the runtime in charge of the concurrent execution of ILUPACK —a sophisticated preconditioned iterative solver for sparse linear systems— produces on the ...

    • openAccess   Characterizing the efficiency of multicore and manycore processors for the solution of sparse linear systems 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. Springer Berlin Heidelberg (2015-09)
      We analyze the efficiency of servers equipped with state-of-the-art general-purpose multicore processors as well as platforms based on accelerators such as graphics processing units (GPUs) and the Intel Xeon Phi. Following ...

    • openAccess   Communication in task-parallel ILU-preconditioned CG solversusing MPI + OmpSs 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Flegar, Goran; Bollhöffer, Matthias; Quintana-Orti, Enrique S. Wiley (2017-11-10)
      We target the parallel solution of sparse linear systems via iterative Krylov subspace–based methods enhanced with incomplete LU (ILU)-type preconditioners on clusters of multicore processors. In order to tackle large-scale ...

    • openAccess   Energy‐aware strategies for task‐parallel sparse linear system solvers 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Castaño, Asunción Wiley (2018)
      We present several energy‐aware strategies to improve the energy efficiency of a task‐parallel preconditioned Conjugate Gradient (PCG) iterative solver on a Haswell‐EP Intel Xeon. These techniques leverage the power‐saving ...