The Computational Fluid Dynamics (CFD), is a method of analysis which scientists and engineers are using to build high complexity models. One of the most important side problems of CFD is the cost of operating the computational infrastructure, that is increasing along with the models.

This work tries to contribute a technique of building high resolution CFD models along with reducing these operational costs. We try to rise the awareness to an understated part of the parallelization process: the mapping phase, when the bulk computing load is distributed towards the individual computing cores of a computing cluster.


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  1. Choudhary, A. and MaheshC.G. and GirdhariS. and LalitK.A., and E.S.Pilli
    . [2018] Task Clustering-Based Energy-Aware Workflow Scheduling in Cloud Environment. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 968–73. Exeter, United Kingdom: IEEE, 2018. https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00160.
    [Google Scholar]
  2. Foster, I.
    [1995] Designing and Building Parallel Programs (online 2019: https://www.mcs.anl.gov/∼itf/dbpp/)
    [Google Scholar]
  3. Iii, J.H.L. and Pedretti, K.T. and Kelly, S.M. and Shu, W. and Vaughan, C.T.
    [2012] Energy based performance tuning for large scale high performance computing systems. In: Proceedings of the 2012 Symposium on High Performance Computing. Society for Computer Simulation International, 2012. p. 6.
    [Google Scholar]
  4. McNamara, A.K., and S.Zhong
    [2004] Thermochemical structures within a spherical mantle: Superplumes or Piles?, J. Geophys. Res., 109, B07402, doi:10.1029/2003JB002847.
    https://doi.org/10.1029/2003JB002847 [Google Scholar]
  5. Tan, E. and ChoiE. and ThoutireddyP. and GurnisM., and AivazisM.
    [2006] GeoFramework: Coupling multiple models of mantle convection within a computational framework. Geochem., Geophys., Geosyst. 7, Q06001, doi:10.1029/2005GC001155.
    https://doi.org/10.1029/2005GC001155 [Google Scholar]
  6. Valentini, G.L. and LassondeW. and KhanS.U. and Min-AllahN. and MadaniS.A. and ZhangJ.L.L. et al.
    [2013] An Overview of Energy Efficiency Techniques in Cluster Computing Systems. Cluster Computing16, no. 1 (March 2013): 3–15. https://doi.org/10.1007/s10586-011-0171-x.
    [Google Scholar]
  7. Zhong, S. and ZuberM.T. and MoresiL.N. and GurnisM.
    [2000] The role of temperature-dependent viscosity and surface plates in spherical shell models of mantle convection. J. Geophys. Res., 105, 11, 063–11,082.
    [Google Scholar]

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