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The objective of this work is to derive effective thermal property functions which could be directly incorporated in the FFD-AMRD framework mentioned above to enhance computational speed.
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Increasingly, high-performance computing is looking towards data-parallel computational devices to enhance computational performance.
In order to enhance computational performance, we compress expression profiles by grouping reads into blocks.
In addition, some fast SVD methods [18, 19] may enhance the computational speed.
The objective of the present study is thus, to enhance the computational speed of an existing finite-difference-based wind simulation scheme already implemented by the authors.
CORONA solves a fluid region using a one-dimensional formulation and a solid region using a three-dimensional formulation to enhance the computational speed and still obtain a reasonable accuracy.
In the proposed OKHA, the concept of opposition based population initialization and opposition based generation jumping are employed in the basic KHA to enhance its computational speed and convergence profile.
Combined with simple heuristics, this may be used to further enhance the computational speed of PCF.
This may be particularly important for institutions in countries where computers with high computational speed are not readily available.
This simplification of integral computation not only improves the computational speed, but also improves the computational accuracy.
Our future works will be focused on improvement of computational speed by utilizing the parallelized computing.
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