• DocumentCode
    3011137
  • Title

    An FPGA-based acceleration platform for auction algorithm

  • Author

    Zhu, Pengfei ; Zhang, Chun ; Li, Hua ; Cheung, Ray C.C. ; Hu, Bryan

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Alberta, Canada
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    1002
  • Lastpage
    1005
  • Abstract
    Auction algorithms have been applied in various linear network problems, such as assignment, transportation, max-flow and shortest path problem. The inherent parallel characteristics of these algorithms are well suited for FPGA hardware implementation. In this paper, we focus on the acceleration of auction algorithm to solve assignment problem. The main contribution is to set up a flexible platform to generate efficient and extendable application-based hardware acceleration. It aims at solving both symmetric and asymmetric assignment problem. Experimental results show that 10X speedup can be achieved using 128 Processing Elements for the problem size of 500.
  • Keywords
    Acceleration; Arrays; Field programmable gate arrays; Hardware; Jacobian matrices; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul, Korea (South)
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6271395
  • Filename
    6271395