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Further, parallel processing on shared memory architecture (personal computer) has been employed to enhance the efficiency of this code.
The efficiency of this code derives from the use of vector coherent state theory to evaluate the required coefficients directly without recursion relations.
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For moderate code parameters, packets of few hundred bits (all network standards requires even more than this) are good enough that will not affect the efficiency of the code very much.
We demonstrate the efficiency of the code and show that it is able to integrate N-body systoms thethe moment of the core collapse.
The authors showed that there is a tradeoff between the number of elements that can be locked and the efficiency of the code.
The efficiency of the code is further increased by standard shared-memory parallelization techniques and is demonstrated on a set of numerical experiments.
However, it is in fact difficult to perform direct comparison of the speed between MC and D-LBTE solvers as it depends on the hardware and the efficiency of the coding used.
In order to improve the efficiency of this locator, we modify its source code so that it can guarantee that the required information will be known to all nodes in the network.
In order to check the efficiency of relevant code provisions, the behaviour exhibited by tested RC columns is assessed.
The efficiency of our code makes it very promising to study thermal conductivity properties of more complicated materials, especially, materials with interesting nanostructures.
Also, the efficiency of their code (opened to public) for forward calculation of FW H/V reduces significantly, when the number of frequencies of H/V is larger than 1000 and the number of layers is more than 5.
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CEO of Professional Science Editing for Scientists @ prosciediting.com