• DocumentCode
    1690084
  • Title

    An adaptive and scalable multiprocessor system For Xilinx FPGAs using minimal sized processor cores

  • Author

    Klimm, Alexander ; Braun, Lars ; Becker, Jürgen

  • Author_Institution
    Univ. Karlsruhe (TH), Karlsruhe
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In embedded systems, especially in multi-purpose platforms, the need for computational power can vary greatly. This depends mainly on the type of applications running on the platform as well as on limitations such as real-time constraints or the amount of data being processed. These factors can change during lifetime of the system and even during runtime. A highly adaptive computing platform is desirable, providing exactly the computational power and speed needed for any particular task at any particular time using minimal resources. This contribution discusses a highly scalable multiprocessor system composed of minimal sized processor cores. The proposed architecture is intended for computational intensive applications such as on-line routing and placement on FPGAs or applications in the cryptographic domain. While offering a lot of leeway in computational power it uses minimal resources on an FPGA, thus freeing hardware resources for applications running in parallel to the multiprocessor system.
  • Keywords
    field programmable gate arrays; Xilinx FPGA; adaptive computing platform; computational intensive applications; cryptographic domain; embedded systems; hardware resources; minimal sized processor cores; multiprocessor system; online routing; real-time constraints; Computer applications; Computer architecture; Concurrent computing; Cryptography; Embedded computing; Embedded system; Field programmable gate arrays; Multiprocessing systems; Routing; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
  • Conference_Location
    Miami, FL
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-1693-6
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2008.4536519
  • Filename
    4536519