• DocumentCode
    2104073
  • Title

    An Intelligent Multi-Port Memory

  • Author

    Wang Zuo ; Zuo, Wang ; Li Jiaxing

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    Multi-processors systems provide excellent computing ability for varied AI applications. Because processors may issue simultaneous accesses to the shared memory system, multi-port memory are widely used current multi-processor systems. This paper proposes an intelligent multi-port memory. With the help of port-priority and r/w-priority, our multi-port memory can resolve both write-write conflict and read-write conflict. When write-write conflict occurs, the port with the highest priority can execute its write operation; when read-write conflict occurs, the multi-port memory intelligently chooses read-then-write or write-then-read according to r/w-priority. Besides, direct data-switch paths between ports are implemented by utilizing the read-write conflict. We verify our design on Xilinx Virtex-E FPGA. Experiment results show that our design works well. Experiment results also show that, as the port number N increases, the cell cost increases significantly. This restricts the reasonable port number to rather small values in practice.
  • Keywords
    field programmable gate arrays; shared memory systems; Xilinx Virtex-E FPGA; intelligent multiport memory; multiprocessors systems; read-then-write; shared memory system; write-then-read; Application software; Artificial intelligence; Communication system control; Computer science; Costs; Field programmable gate arrays; Information technology; Multiprocessing systems; Read-write memory; Signal resolution; conflict; multi-port memory; port number; priority;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.231
  • Filename
    4731926