• DocumentCode
    1459764
  • Title

    From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture

  • Author

    Heinecke, Alexander ; Klemm, Michael ; Bungartz, Hans-Joachim

  • Author_Institution
    Tech. Univ. Munchen (TUM), Munich, Germany
  • Volume
    14
  • Issue
    2
  • fYear
    2012
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    Comparing the architectures and performance levels of an Nvidia Fermi accelerator with an Intel MIC Architecture coprocessor demonstrates the benefit of the coprocessor for bringing highly parallel applications into, or even beyond, GPGPU performance regions.
  • Keywords
    graphics processing units; multiprocessing systems; parallel architectures; GPGPU; Intel MIC Architecture coprocessor; Intel many integrated core architecture; Nvidia Fermi accelerator; parallel applications; Computer architecture; Coprocessors; Graphics processing unit; Microwave integrated circuits; Performance evaluation; Programming; Random access memory; GPGPU; Intel MIC Architecture; accelerator; coprocessor; many-core; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2012.23
  • Filename
    6159201