• DocumentCode
    601077
  • Title

    Hardware design of an eigensolver based on the QR method

  • Author

    Guerrero-Ramirez, J.E. ; Velasco-Medina, J. ; Arce-Clavijo, J.C.

  • Author_Institution
    Bionanoelectronics Res. Group, Univ. del Valle, Cali, Colombia
  • fYear
    2013
  • fDate
    Feb. 27 2013-March 1 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Eigenvalue computation is essential in many fields of science and engineering. In most cases we need a lot of computation resources in order to compute all the eigenvalues of medium and large matrices. The QR method is one of the most famous methods that computes all the eigenvalues and occasionally, the eigenvectors. In this paper we have designed a systolic architecture for the QR eigensolver, which implements the basic QR algorithm for symmetric matrices.
  • Keywords
    digital arithmetic; eigenvalues and eigenfunctions; matrix algebra; QR eigensolver; QR method; eigenvalue computation; eigenvectors; hardware design; symmetric matrices; systolic architecture; Algorithm design and analysis; Arrays; Eigenvalues and eigenfunctions; Hardware; Matrix decomposition; Symmetric matrices; Vectors; CORDIC; Eigenvalue computation; Givens rotations; QR method; Systolic Array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (LASCAS), 2013 IEEE Fourth Latin American Symposium on
  • Conference_Location
    Cusco
  • Print_ISBN
    978-1-4673-4897-3
  • Type

    conf

  • DOI
    10.1109/LASCAS.2013.6519065
  • Filename
    6519065
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=601077