• DocumentCode
    728866
  • Title

    Ensuring an Effective User Experience When Managing and Running Scientific HPC Software

  • Author

    Cohen, Jeremy ; Moxey, David ; Cantwell, Chris ; Austing, Peter ; Darlington, John ; Sherwin, Spencer

  • Author_Institution
    Dept. of Comput., Imperial Coll. London, London, UK
  • fYear
    2015
  • fDate
    18-18 May 2015
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    With CPU clock speeds stagnating over the last few years, ongoing advances in computing power and capabilities are being supported through increasing multi- and many-core parallelism. The resulting cost of locally maintaining large-scale computing infrastructure, combined with the need to perform increasingly large simulations, is leading to the wider use of alternative models of accessing infrastructure, such as the use of Infrastructure-as-a-Service (IaaS) cloud platforms. The diversity of platforms and the methods of interacting with them can make using them with complex scientific HPC codes difficult for users. In this position paper, we discuss our approaches to tackling these challenges on heterogeneous resources. As an example of the application of these approaches we use Nekkloud, our web-based interface for simplifying job specification and deployment of the Nektar++ high-order finite element HPC code. We also present results from a recent Nekkloud evaluation workshop undertaken with a group of Nektar++ users.
  • Keywords
    cloud computing; parallel processing; CPU clock speeds; Nekkloud evaluation workshop; Nektar++ high-order finite element HPC code; Web-based interface; complex scientific HPC codes; effective user experience; heterogeneous resources; infrastructure-as-a-service cloud platforms; large-scale computing infrastructure; many-core parallelism; multicore parallelism; scientific HPC software; Complexity theory; Computational modeling; Conferences; Data models; Documentation; Usability; Finite element methods; Infrastructure as a Service; Job specification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering for High Performance Computing in Science (SE4HPCS), 2015 IEEE/ACM 1st International Workshop on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/SE4HPCS.2015.16
  • Filename
    7173512