• DocumentCode
    580081
  • Title

    HyperX: topology, routing, and packaging of efficient large-scale networks

  • Author

    Jung Ho Ahn ; Binkert, N. ; Davis, A.K. ; McLaren, Moray ; Schreiber, Robert S.

  • fYear
    2009
  • fDate
    14-20 Nov. 2009
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    In the push to achieve exascale performance, systems will grow to over 100,000 sockets, as growing cores-per-socket and improved single-core performance provide only part of the speedup needed. These systems will need affordable interconnect structures that scale to this level. To meet the need, we consider an extension of the hypercube and flattened butterfly topologies, the HyperX, and give an adaptive routing algorithm, DAL. HyperX takes advantage of high-radix switch components that integrated photonics will make available. Our main contributions include a formal descriptive framework, enabling a search method that finds optimal HyperX configurations; DAL; and a low cost packaging strategy for an exascale HyperX. Simulations show that HyperX can provide performance as good as a folded Clos, with fewer switches. We also describe a HyperX packaging scheme that reduces system cost. Our analysis of efficiency, performance, and packaging demonstrates that the HyperX is a strong competitor for exascale networks.
  • Keywords
    digital arithmetic; hypercube networks; multistage interconnection networks; network routing; network topology; search problems; DAL; HyperX packaging scheme; adaptive routing algorithm; cores-per-socket; exascale HyperX; exascale networks; exascale performance; flattened butterfly topology; folded Clos; formal descriptive framework; high-radix switch components; hypercube; integrated photonics; interconnect structures; large-scale networks; low cost packaging strategy; network packaging; network routing; network topology; optimal HyperX configurations; search method; single-core performance; system cost reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing Networking, Storage and Analysis, Proceedings of the Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1145/1654059.1654101
  • Filename
    6375529