This paper intends to achieve high performance in terms of time by implementing various time consuming application on NVIDIA Graphics Processing Unit (GPU) by using parallel programming model NVIDIA Compute Unified Device Architecture CUDAA).
Although the technique presented in Ref. [6] enables the SEA parameters to be computed with better accuracy for general structural panels, it can still be quite time consuming for applications on train floor-like structures due to the large dimensions of each "cell", e.g. three bays of triangular extrusions in case of the extruded panel structure shown in Fig. 1.
Forget Facebook, Foursquare, email and all those other time-consuming applications out there.
Consequently, a shared goal of service providers and clients is the optimization of resource utilization while keeping costs and runtime of potentially time-consuming applications low.
Some time-consuming applications of magnetic resonance imaging (MRI), especially dynamic ones, such as cardiac, functional magnetic resonance imaging (fMRI), diffusion tensor imaging, and spectroscopic imaging are developed in recent years.
The inexpensive general-purpose GPUs give engineers a great choice to accelerate time-consuming applications.
The correlated SNBCK is the most accurate model but is too time consuming for engineering applications.
It is noteworthy that such a prolonged sonication is too much energy and time consuming for practical applications.
The CK model is the most accurate of the methods evaluated here, but too time consuming for engineering applications, although recent developments may partly overcome this shortcoming.
With this methodology, the elastic or inelastic deformation state of response is taken into account at every step of the analysis, but, evidently, such a method is much more complex than a static procedure, costly and time consuming for structural applications.
