• DocumentCode
    1564871
  • Title

    Factoring solution sets of polynomial systems in parallel

  • Author

    Leykin, Anton ; Verschelde, Jan

  • Author_Institution
    Dept. of Math., Stat., & Comput. Sci., Univ. of Illinois at Chicago, IL, USA
  • fYear
    2005
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    The authors reported on a first parallel implementation of a recent algorithm to factor positive dimensional solution sets of polynomial systems. As the algorithm uses homotopy continuation, a good speedup of the path tracking jobs was observed. However, for solution sets of high degree, the overhead of managing different homotopies and large lists of solutions exposes the limits of the master/servant parallel programming paradigm for this type of problem. A probabilistic complexity study suggests modifications to the method, which will also improve the serial version of the original algorithm.
  • Keywords
    mathematics computing; parallel algorithms; parallel programming; polynomials; factoring solution sets; homotopy continuation; parallel polynomial systems; parallel programming; probabilistic complexity; Assembly systems; Computational geometry; Computer science; Concurrent computing; Equations; Mathematics; Parallel programming; Polynomials; Statistics; Uniform resource locators; 68W30; Linear trace; Primary 65H10; Secondary 14Q99; monodromy; numerical algebraic geometry; numerical homotopy algorithms; numerical irreducible decomposition; parallel computation; path following; polynomial systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2005. ICPP 2005 Workshops. International Conference Workshops on
  • ISSN
    1530-2016
  • Print_ISBN
    0-7695-2381-1
  • Type

    conf

  • DOI
    10.1109/ICPPW.2005.31
  • Filename
    1488691