A component infrastructure for performance and power modeling of parallel scientific applications

  • Authors:
  • Van Bui;Boyana Norris;Kevin Huck;Lois Curfman McInnes;Li Li;Oscar Hernandez;Barbara Chapman

  • Affiliations:
  • University of Houston, Houston, TX;Argonne National Laboratory, Argonne, IL;University of Oregon, Eugene, OR;Argonne National Laboratory, Argonne, IL;Argonne National Laboratory, Argonne, IL;University of Houston, Houston, TX;University of Houston, Houston, TX

  • Venue:
  • Proceedings of the 2008 compFrame/HPC-GECO workshop on Component based high performance
  • Year:
  • 2008

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Abstract

Characterizing the performance of scientific applications is essential for effective code optimization, both by compilers and by high-level adaptive numerical algorithms. While maximizing power efficiency is becoming increasingly important in current high-performance architectures, little or no hardware or software support exists for detailed power measurements. Hardware counter-based power models are a promising method for guiding software-based techniques for reducing power. We present a component-based infrastructure for performance and power modeling of parallel scientific applications. The power model leverages on-chip performance hardware counters and is designed to model power consumption for modern multiprocessor and multicore systems. Our tool infrastructure includes application components as well as performance and power measurement and analysis components. We collect performance data using the TAU performance component and apply the power model in the performance and power analysis of a PETSc-based parallel fluid dynamics application by using the PerfExplorer component.