• openAccess   Adapting concurrency throttling and voltage–frequency scaling for dense eigensolvers 

      Aliaga Estellés, José Ignacio; Barreda Vayá, Maria; Castaño Álvarez, María Asunción; Dolz, Manuel F.; Quintana-Orti, Enrique S. Springer Verlag (2015)
      We analyze power dissipation and energy consumption during the execution of high-performance dense linear algebra kernels on multi-core processors. On top of this analysis, we propose and evaluate several strategies to ...
    • openAccess   Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product 

      Barreda Vayá, Maria; Dolz, Manuel F.; Castaño Álvarez, María Asunción Sage (2020-08-26)
      Modeling the performance and energy consumption of the sparse matrix-vector product (SpMV) is essential to perform off-line analysis and, for example, choose a target computer architecture that delivers the best ...
    • closedAccess   Performance modeling of the sparse matrix–vector product via convolutional neural networks 

      Barreda Vayá, Maria; Dolz, Manuel F.; Castaño Álvarez, María Asunción; Alonso-Jordá, Pedro; Quintana-Orti, Enrique S. Springer (2020-02-04)
      Modeling the execution time of the sparse matrix–vector multiplication (SpMV) on a current CPU architecture is especially complex due to (i) irregular memory accesses; (ii) indirect memory referencing; and (iii) low ...
    • closedAccess   Reducing the cost of power monitoring with DC wattmeters 

      Castaño Álvarez, María Asunción; Catalán, Sandra; Mayo, Rafael; Quintana-Orti, Enrique S. Springer Berlin Heidelberg (2015-05)
      The use of internal DC wattmeters, connected to the ATX lines that distribute power from the supply unit to the computer components, is a luring method to profile power in server configurations due to the accurate and ...