• DocumentCode
    1887833
  • Title

    Large numerical linear algebra in 1994: the continuing influence of parallel computing

  • Author

    Edelman, Alan

  • Author_Institution
    Dept. of Math., MIT, Cambridge, MA, USA
  • fYear
    1994
  • fDate
    23-25 May 1994
  • Firstpage
    781
  • Lastpage
    787
  • Abstract
    The note covers two aspects of the state of the art of large numerical linear algebra problems. Firstly, we look at the current records for sparse and dense linear systems and eigenvalue problems on a variety of machines. The second subject matter is perhaps more of a question than an answer; we explore why network topologies of a parallel machine are hardly ever used in ways that perhaps a graph theorist might envision, especially given that linear algebra, particularly dense linear algebra, consists of many very regular predictable operations
  • Keywords
    graph theory; linear algebra; parallel algorithms; parallel architectures; parallel machines; dense linear systems; eigenvalue problems; graph theorist; large numerical linear algebra; network topologies; parallel computing; parallel machine; predictable operations; sparse linear systems; Eigenvalues and eigenfunctions; Linear algebra; Linear systems; Mathematics; Parallel machines; Parallel processing; Portable computers; Supercomputers; Switches; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scalable High-Performance Computing Conference, 1994., Proceedings of the
  • Conference_Location
    Knoxville, TN
  • Print_ISBN
    0-8186-5680-8
  • Type

    conf

  • DOI
    10.1109/SHPCC.1994.296720
  • Filename
    296720