Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control

@article{Alonso2011ImprovingPE,
  title={Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control},
  author={Pedro Alonso and Manuel F. Dolz and Rafael Mayo and Enrique S. Quintana-Ort{\'i}},
  journal={2011 International Conference on High Performance Computing & Simulation},
  year={2011},
  pages={463-470}
}
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. In particular, we consider a procedure, the Slack Reduction Algorithm (SRA), to optimize the execution frequency of a collection of tasks (in which many dense linear algebra algorithms can be decomposed) on multi-core architectures. The results from this procedure are modulated by an energy… CONTINUE READING
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