• DocumentCode
    1685995
  • Title

    Divide and conquer for the solution of banded linear systems of equations

  • Author

    Hegland, M.

  • Author_Institution
    Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    1996
  • Firstpage
    394
  • Lastpage
    401
  • Abstract
    An algorithm for the solution of banded linear systems is presented and discussed which combines stability with scalability. This is achieved by implementing divide and conquer for Gaussian elimination with partial pivoting. Earlier divide and conquer algorithms for Gaussian elimination have problems with instabilities and can even break down as they implement a more restricted form of pivoting. The key observation used for the implementation is the invariance of LU factorization with partial pivoting under permutations. Theoretical analysis shows that the algorithm has low redundancy, a high degree of parallelism and relatively low communication
  • Keywords
    divide and conquer methods; matrix algebra; parallel algorithms; Gaussian elimination; LU factorization; banded linear systems of equations; divide and conquer; parallelism; partial pivoting; redundancy; scalability; stability; Algorithm design and analysis; Bandwidth; Ear; Equations; Laboratories; Linear systems; Parallel processing; Redundancy; Scalability; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1996. PDP '96. Proceedings of the Fourth Euromicro Workshop on
  • Conference_Location
    Braga
  • Print_ISBN
    0-8186-7376-1
  • Type

    conf

  • DOI
    10.1109/EMPDP.1996.500612
  • Filename
    500612