• DocumentCode
    589957
  • Title

    Graph programming model: An efficient approach for sensor signal processing

  • Author

    Kirsch, S.

  • Author_Institution
    Raytheon Space & Airborne Syst., El Segundo, CA, USA
  • fYear
    2012
  • fDate
    10-12 Sept. 2012
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    The HPC community has struggled to find a parallel programming model or language that can efficiently expose algorithmic parallelism in a sequential program and automate the implementation of a highly efficient parallel program. A plethora of parallel programming languages have been developed along with sophisticated compilers and runtimes, but none of these approaches have been successful enough to became a defacto standard. Graph Programming Model has the capability and efficiencies to become that ubiquitous standard for the signal processing domain.
  • Keywords
    graph theory; parallel languages; parallel programming; program compilers; sensors; signal processing; HPC community; algorithmic parallelism; compilers; graph programming model; parallel programming languages; parallel programming model; sensor signal processing; sequential program; Data models; Hardware; Parallel processing; Program processors; Programming; Signal processing; Tiles; Data Flow Method; Graph; Parallel Programming; Parallelism Extraction; Portability; Scalabilitiy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Extreme Computing (HPEC), 2012 IEEE Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4673-1577-7
  • Type

    conf

  • DOI
    10.1109/HPEC.2012.6408662
  • Filename
    6408662