• DocumentCode
    1810368
  • Title

    Efficient implementation of sorting algorithms on asynchronous distributed-memory machines

  • Author

    Zhou, B.B. ; Brent, R.P. ; Tridgell, A.

  • Author_Institution
    Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    1994
  • fDate
    19-22 Dec 1994
  • Firstpage
    102
  • Lastpage
    106
  • Abstract
    The problem of merging two sequences of elements which are stored separately in two processing elements (PEs) occurs in the implementation of many existing sorting algorithms. We describe efficient algorithms for the merging problem on asynchronous distributed-memory machines. The algorithms reduce the cost of the merge operation and of communication, as well as partly solving the problem of load balancing. Experimental results on a Fujitsu AP1000 are reported
  • Keywords
    distributed memory systems; merging; performance evaluation; sorting; Fujitsu AP1000; asynchronous distributed-memory machines; load balancing; merge operation; merging; processing elements; sorting algorithms; Australia; Costs; Delay; Distributed computing; Laboratories; Load management; Merging; Sorting; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems, 1994. International Conference on
  • Conference_Location
    Hsinchu
  • Print_ISBN
    0-8186-6555-6
  • Type

    conf

  • DOI
    10.1109/ICPADS.1994.590058
  • Filename
    590058