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We verify that the HPC cluster "paraytinga", using the computational grid with OurGrid, has the lowest job execution time in all computational grid configurations.
The 3-year climatology execution generated the expected results in 20.5, 22.3 and 33.3 days, using the computational grid configured with OurGrid, Globus and OAR/CiGri grid middlewares, respectively.
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The unsteady hydrodynamic characteristics of the flapping foil stabiliser are investigated, and its working mechanism is modelled based on the data generated using the computational fluid dynamics method with fixed-grid technology.
The methodology is a hybrid method in which different levels of master and slave processors are used to distribute the computational grid points and to maximize the use of multiple processors utilized in GPU.
We have automatized the BRAMS climatology generation by creating a climatology workflow (Fig. 3), used to submit to the computational grid.
The philosophy of the arbitrary Lagrangian Eulerian (ALE) methodology for solving multidimensional fluid flow problems is to move the computational grid, using the flow as a guide, to improve the accuracy and efficiency of the simulation.
The best job distribution between grid nodes, and consequently the lowest grid idleness, occurred when the computational grid used Ourgrid.
The computational grid used is effectively 362×226×98 in the streamwise, spanwise, and vertical directions, i.e. about 3×107 degrees of freedom, and uses 32 grid points along the sides of the cube.
The reduced models are then used as a predictive tool for the reacting system of interest by transporting only a subset of the original state-space variables on the computational grid and using the PCA basis to reconstruct the non-transported variables.
Fig. 3 Distribution of seismic stations used in the analysis (squares) and the computational grid (crosses).
The job execution time has variation of 39.0 % (9 h 46 min), when the computational grid middleware uses GLOBUS (Fig. 9).
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