• DocumentCode
    2627603
  • Title

    A parallel lattice basis reduction for mesh-connected processor arrays and parallel complexity

  • Author

    Heckler, C. ; Thiele, L.

  • Author_Institution
    Lehrstuchl fuer Mikroelektronik, Saarlandes Univ., Saarbrucken, Germany
  • fYear
    1993
  • fDate
    1-4 Dec 1993
  • Firstpage
    400
  • Lastpage
    407
  • Abstract
    Lattice basis reduction has important applications in the areas of computer algebra, cryptography and combinatorial optimization. Several efficient sequential algorithms are known. Recently, parallel algorithms have been developed but until now a formal proof for the efficiency of parallel algorithms with n2 processors has been omitted, where n denotes the dimension of the lattice. In this paper, a variant of the well-known basis reduction algorithms is presented that is well suited for the computation with fast floating point arithmetic and for the implementation on a mesh-connected array of n2 processors. In addition, an error analysis and a proof of the parallel efficiency is provided
  • Keywords
    computational complexity; floating point arithmetic; parallel algorithms; process algebra; symbol manipulation; basis reduction algorithms; combinatorial optimization; computer algebra; cryptography; fast floating point arithmetic; mesh-connected array; mesh-connected processor arrays; parallel algorithms; parallel complexity; parallel lattice basis reduction; Algebra; Application software; Computational geometry; Concurrent computing; Cryptography; Error analysis; Floating-point arithmetic; Lattices; Parallel algorithms; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1993. Proceedings of the Fifth IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-4222-X
  • Type

    conf

  • DOI
    10.1109/SPDP.1993.395505
  • Filename
    395505