• closedAccess   DVFS-control techniques for dense linear algebra operations on multi-core processors 

      Alonso-Jordá, Pedro; Dolz, Manuel F.; Igual, Francisco D.; Mayo, Rafael; Quintana-Orti, Enrique S. Springer (2012-11)
      This paper analyzes the impact on power consumption of two DVFS-control strategies when applied to the execution of dense linear algebra operations on multi-core processors. The strategies considered here, prototyped as ...
    • openAccess   DVFS-Technique for Dense Linear Algebra Operations on Multi-Core Processors 

      Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2011-05)
      This paper addresses the efficient explotation of task-level parallelism, present in many dense linear algebra operations, from the point of view of both computational performance and energy consumption. In particular, ...
    • closedAccess   Energy-efficient execution of dense linear algebra algorithms on multi-core processors 

      Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S. Springer Verlag (2013-09)
      This paper addresses the efficient exploitation of task-level parallelism, present in many dense linear algebra operations, from the point of view of both computational performance and energy consumption. The strategies ...
    • 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 ...
    • openAccess   Reducing Power Consumption of the LU Factorization with Partial Pivoting on Multi-Core Processors 

      Alonso-Jordá, Pedro; Dolz, Manuel F.; Mayo, Rafael; Quintana-Orti, Enrique S. Departament d' Enginyeria i Ciència dels Computadors, Universitat Jaume I (2011-07)
      In this paper we analyze the trade-off between energy and performance for a data- parallel execution of the LU factorization with partial pivoting on a multi-core proces- sor. To improve power efficiency, we adapt the ...