• DocumentCode
    2199582
  • Title

    A Novel Approach for Finding Candidate Locations for Online FPGA Placement

  • Author

    Hu, W. ; Wang, C. ; Ma, J.L. ; Chen, T.Z. ; Chen, D.

  • Author_Institution
    Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    2509
  • Lastpage
    2515
  • Abstract
    Reconfigurable computing (RC) has been viewed as an efficient solution to achieve high performance and flexibility. Hardware tasks can be dynamically placed on and removed from reconfigurable platforms. Field-programmable gate arrays (FPGA) provide partially runtime reconfiguration (PRTR) at runtime. However, this reconfiguration will lead to more time overhead. An efficient algorithm to manage empty space is necessary for online task placement on a PRTR FPGA. This paper first proposes a data structure to maintain information about the available free area and then presents a novel approach to find candidate locations for online FPGA placement. Experimental results show that the approach proposed here is better than similar approaches to find locations for task placement.
  • Keywords
    field programmable gate arrays; reconfigurable architectures; data structure; field-programmable gate arrays; online FPGA placement; partially runtime reconfiguration; reconfigurable computing; Algorithm design and analysis; Arrays; Field programmable gate arrays; Hardware; Heuristic algorithms; Runtime; FPGA; dynamic placement; partially runtime reconfigurable; reconfigurable computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Bradford
  • Print_ISBN
    978-1-4244-7547-6
  • Type

    conf

  • DOI
    10.1109/CIT.2010.428
  • Filename
    5578274