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

Autores UPV
Año
Revista Computer Science - Research and Development

Abstract

This paper analyzes the impact on power con- sumption 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 the Slack Reduction Algorithm (SRA) and the Race-to- Idle Algorithm (RIA), adjust the operation frequency of the cores during execution of a collection of tasks (in which many dense linear algebra algorithms can be decomposed) with a very different approach to save energy. A power- aware simulator, in charge of scheduling the execution of tasks to processor cores, is employed to evaluate the perfor- mance benefits of these power-control policies for two ref- erence algorithms for the LU factorization, a key operation for the solution of linear systems of equations.