• DocumentCode
    272225
  • Title

    Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor

  • Author

    Castro, Márcio ; Dupros, Fabrice ; Francesquini, Emilio ; Mehautk, Jean-Francois ; Navaux, Philippe Olivier Alexandre

  • Author_Institution
    Inf. Inst., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    57
  • Lastpage
    64
  • Abstract
    Large-scale simulation of seismic wave propagation is an active research topic. Its high demand for processing power makes it a good match for High Performance Computing (HPC). Although we have observed a steady increase on the processing capabilities of HPC platforms, their energy efficiency is still lacking behind. In this paper, we analyze the use of a low-power manycore processor, the MPPA-256, for seismic wave propagation simulations. First we look at its peculiar characteristics such as limited amount of on-chip memory and describe the intricate solution we brought forth to deal with this processor´s idiosyncrasies. Next, we compare the performance and energy efficiency of seismic wave propagation on MPPA-256 to other commonplace platforms such as general-purpose processors and a GPU. Finally, we wrap up with the conclusion that, even if MPPA-256 presents an increased software development complexity, it can indeed be used as an energy efficient alternative to current HPC platforms, resulting in up to 71% and 81% less energy than a GPU and a general-purpose processor, respectively.
  • Keywords
    energy conservation; integrated memory circuits; low-power electronics; microprocessor chips; seismic waves; HPC; MPPA-256; commonplace platforms; energy efficiency; energy efficient seismic wave propagation; general-purpose processors; high performance computing; large-scale simulation; low-power manycore processor; on-chip memory; processor idiosyncrasy; software development complexity; Computational modeling; Data transfer; Graphics processing units; Mathematical model; Memory management; Seismic waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Architecture and High Performance Computing (SBAC-PAD), 2014 IEEE 26th International Symposium on
  • Conference_Location
    Jussieu
  • ISSN
    1550-6533
  • Type

    conf

  • DOI
    10.1109/SBAC-PAD.2014.28
  • Filename
    6970647