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    Development of a Computational Steering Framework for High Performance Computing Environments on Blue Gene/P Systems

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    Type
    Thesis
    Authors
    Danani, Bob K.
    Advisors
    Keyes, David E. cc
    Committee members
    Ahmadia, Aron cc
    Douglas, Craig C.
    Program
    Computer Science
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2012-07
    Permanent link to this record
    http://hdl.handle.net/10754/267252
    
    Metadata
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    Abstract
    Computational steering has revolutionized the traditional workflow in high performance computing (HPC) applications. The standard workflow that consists of preparation of an application’s input, running of a simulation, and visualization of simulation results in a post-processing step is now transformed into a real-time interactive workflow that significantly reduces development and testing time. Computational steering provides the capability to direct or re-direct the progress of a simulation application at run-time. It allows modification of application-defined control parameters at run-time using various user-steering applications. In this project, we propose a computational steering framework for HPC environments that provides an innovative solution and easy-to-use platform, which allows users to connect and interact with running application(s) in real-time. This framework uses RealityGrid as the underlying steering library and adds several enhancements to the library to enable steering support for Blue Gene systems. Included in the scope of this project is the development of a scalable and efficient steering relay server that supports many-to-many connectivity between multiple steered applications and multiple steering clients. Steered applications can range from intermediate simulation and physical modeling applications to complex computational fluid dynamics (CFD) applications or advanced visualization applications. The Blue Gene supercomputer presents special challenges for remote access because the compute nodes reside on private networks. This thesis presents an implemented solution and demonstrates it on representative applications. Thorough implementation details and application enablement steps are also presented in this thesis to encourage direct usage of this framework.
    Citation
    Danani, B. K. (2012). Development of a Computational Steering Framework for High Performance Computing Environments on Blue Gene/P Systems. KAUST Research Repository. https://doi.org/10.25781/KAUST-1XG99
    DOI
    10.25781/KAUST-1XG99
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-1XG99
    Scopus Count
    Collections
    MS Theses; Computer Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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