Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems

José I. Aliaga, María Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

Abstract

We investigate the benefits that an energy-aware implementation of the runtime in charge of the concurrent execution of ILUPACK—a sophisticated preconditioned iterative solver for sparse linear systems—produces on the time-power-energy balance of the application. Furthermore, to connect the experimental results with the theory, we propose several simple yet accurate power models that capture the variations of average power that result from the introduction of the energy-aware strategies as well as the impact of the P-states into ILUPACK’s runtime, at high accuracy, on two distinct platforms based on multicore technology from AMD and Intel.

Original languageEnglish
Pages (from-to)1335-1348
Number of pages14
JournalCluster Computing
Volume17
Issue number4
DOIs
Publication statusPublished - 15 Nov 2014
Externally publishedYes

Keywords

  • CPU power-saving modes
  • Energy-aware methods
  • High performance computing
  • ILUPACK
  • Iterative solvers
  • Sparse linear systems

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