• DocumentCode
    776893
  • Title

    Using the multistage cube network topology in parallel supercomputers

  • Author

    Siegel, Howard Jay ; Nation, Wayne C. ; Kruskal, Clyde P. ; Napolitano, Leonard M., Jr.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    77
  • Issue
    12
  • fYear
    1989
  • fDate
    12/1/1989 12:00:00 AM
  • Firstpage
    1932
  • Lastpage
    1953
  • Abstract
    A critical component of any large-scale parallel processing system is the interconnection network that provides a means for communication along the system´s processors and memories. Attributes of the multistage cube topology that have made it an effective basis for interconnection networks and the subject of much ongoing research are reviewed. These attributes include O(N log2N) cost for an N-input/output network, decentralized control, a variety of implementation options, good data-permuting capability to support single-instruction-stream/multiple-data-stream (SIMD) parallelism, good throughput to support multiple-instruction-stream/multiple-data-stream (MIMD) parallelism, and ability to be partitioned into independent subnetworks to support reconfigurable systems. Examples of existing systems that use multistage cube networks are considered. The multistage cube topology can be converted into a single-stage network by associating with each switch in the network a processor (and a memory). Properties of systems that use the multistage cube network in this way are examined
  • Keywords
    computational complexity; multiprocessor interconnection networks; network topology; parallel architectures; ASPRO; Cedar; GP1000; IBM RP3; MIMD; N-input/output network; PASM; SIMD; TC2000; data-permuting capability; decentralized control; interconnection network; large-scale parallel processing system; multistage cube network topology; parallel supercomputers; partitionable SIMD/MIMD machines; reconfigurable systems; single stage network; single-stage network; throughput; Computational modeling; Concurrent computing; Costs; Intelligent networks; Large-scale systems; Missiles; Network topology; Parallel processing; Supercomputers; Switches;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.48833
  • Filename
    48833