• DocumentCode
    1847972
  • Title

    Designing a Multi-Processor Education Board for High-Performance Embedded Processing

  • Author

    Liu, Yijun ; Wang, Banghai ; Xie, Guobo ; Chen, Pinghua ; Li, Zhenkun

  • Author_Institution
    Fac. of Comput., Guangdong Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    2546
  • Lastpage
    2551
  • Abstract
    Modern embedded markets call for high density computing ability, making it is difficult to use just one microprocessor to satisfy function requirements of high-performance embedded systems. Multiple processors, including embedded microprocessors, digital signal processors (DSPs) and FPGA hardware accelerators are often used in these embedded systems. However, as far as we know, only very few universities include multiple processor (multi-processor) techniques in embedded system design courses, which makes graduates hard to meet the social requirement. To overcome the contradiction between education and social requirement, a multi-processor education board is designed, aiming at training students´ ability in the design of modern high-performance embedded systems which use several processors.
  • Keywords
    computer science education; digital signal processing chips; educational courses; electronic engineering education; embedded systems; field programmable gate arrays; training; FPGA hardware accelerators; digital signal processors; embedded system design courses; high-performance embedded processing; multiprocessor education board; student training; Computer science education; Digital signal processing; Digital signal processors; Educational programs; Educational technology; Embedded computing; Embedded system; Field programmable gate arrays; Hardware; Microprocessors; ARM; FPGA; Multi-processor; education board; embedded processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.185
  • Filename
    4709377