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This kind of computation can exhaust the available computational resources on one institution, requiring the use of grid computing technique to provide more computational resources from other institutions [5].
In order to improve the computation efficiency, we apply parallel computing technique with Message Passing Interface (MPI).
Auto-scaling is an important cloud computing technique that dynamically allocates computational resources to applications to match their current loads precisely, thereby removing resources that would otherwise remain idle and waste power.
We applied CPU and GPU parallel computing technique into spring force computation and integration methods such as Euler, Midpoint, 4th-order Runge-Kutta to optimize the computational burden of dynamic simulation.
However, this method was not as efficient as the new soft computing technique, such as artificial neural networks (ANNs), evolutionary computation (EC), fuzzy logic (FL) and genetic programming, which have been successfully applied in water engineering problems in the last two decades.
Authors present reconfigurable computing technique.
In this project, a new intelligent based methodology employing neuro- fuzzy soft computing technique is proposed.
This technique can handle large uncertainties safely and efficiently through a parallel computing technique.
Grid computing has become an effective computing technique in recent years.
In this paper, the vector computing technique is applied in modeling and simulation of induction machines.
For reasons of ambiguity during machining, the soft computing technique is chosen to predict the output.
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