• DocumentCode
    1685752
  • Title

    On the concept of simultaneous execution of multiple applications on hierarchically based cluster and the silicon operating system

  • Author

    Venkateswaran, N. ; Elangovan, Vinoth Krishnan ; Ganesan, Karthik ; Sagar, TP Ramnath Sai ; Aananthakrishanan, Sriram ; Ramalingam, Shreyas ; Gopalakrishnan, Shyamsundar ; Manivannan, Madhavan ; Srinivasan, Deepak ; Krishnamurthy, Viswanath ; Chandrasekar

  • Author_Institution
    Waran Res. Found., Chennai
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we present a novel cluster paradigm and silicon operating system. Our approach in developing the competent cluster design revolves around an execution model to aid the execution of multiple independent applications simultaneously on the cluster, leading to cost sharing across applications. The execution model should envisage simultaneous execution of multiple applications (running traces of multiple independent applications in the same node at an instant, without time sharing) and on all the partitionsf nodes) of a single cluster, without sacrificing the performance of individual application, unlike in the current cluster models. Performance scalability is achieved as we increase the number of nodes, the problem size of the individual independent applications, due to non-dependency across applications and hence increase in the number of non-dependent operations (as the problem sizes of the applications get increased) and this leads to better utilization of the unused resources within the node. This execution model is very much dependent on the node architecture for performance scalability. This would be a major initiative towards achieving performance cost-effective supercomputing.
  • Keywords
    operating systems (computers); parallel machines; performance evaluation; cluster model; hierarchically based cluster; node architecture; performance cost-effective supercomputing; performance scalability; silicon operating system; unused node resource; Costs; Geoscience; Large-scale systems; Network topology; Operating systems; Parallel programming; Program processors; Scalability; Silicon; Time sharing computer systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
  • Conference_Location
    Miami, FL
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-1693-6
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2008.4536347
  • Filename
    4536347