Adapting concurrency throttling and voltage–frequency scaling for dense eigensolvers

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 adapt concurrency throttling and the voltage–frequency setting in order to obtain an energy-efficient execution of LAPACK’s routine dsytrd. Our strategies take into account the differences between the memory-bound and CPU-bound kernels that govern this routine, and whether problem data fits into the processor’s last level cache.This work was supported by the CICYT Project TIN2011-23283 of MINECO and FEDER, the EU Project FP7 318793 “EXA2GREEN”, and the FPU program of the Ministerio de Educación, Cultura y Deporte