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Recently, the Graphic Processor Unit (GPU) has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational horsepower and very high memory bandwidth. To improve the simulation efficiency of complex flow phenomena in the field of computational fluid dynamics, a CUDA-based simulation algorithm of large eddy simulation using multiple GPUs is proposed. Our implementation...
A GPU accelerated implementation of a reduced-order model of the human arterial circulation is introduced. The computationally intensive tasks of the algorithm (namely, the computation of the flow rate and area values at the interior grid points of the domain) have been migrated to the GPU. The CPU not only coordinates the actions performed by the GPU, but it also computes the inflow, bifurcation...
Medical applications are compute and data intensive applications. The complex mathematical models and differential equations in the medical domain require huge computations. Cardiac simulation is one example of such compute-intensive application. In this work, we present an evaluation study for porting the cardiac simulator to the high performance GPUs accelerators. We also conducted a comparative...
Pharmaceutical industries which are intended for the packaging of different tablets in a strip of blister need to make sure that the tablets are free from defects before letting them go into the packing box. The purpose of this project is to speed-up the system process via implementing the image processing algorithm on GPU. Morphological and mathematical operations have been implemented on both GPU...
With emerging of next generation of digital cameras offering a 3D reconstruction of a viewed scene, Depth from Defocus (DFD) presents an attractive option. In this approach the depth profile of the scene is recovered from two views captured in different focus setting. The DFD is well known as a computationally-intensive method due to the shift-variant filtering involved with its estimation. In this...
The state-of-art computer architecture is based on multi core processor technology. Nowadays processors contain even more than ten cores. On the other hand new technologies have emerged that enable using GPU in general propose computing. Moreover, GPUs have become easier to program, which allows developers to effectively exploit their computational power. Currently, major chip manufacturers are developing...
The scattering of acoustic waves in non-homogeneous media has been of practical interest for the petroleum industry, mainly in the determination of new oil deposits. A family of computational models that represent this phenomenon is based on finite difference methods. The simulation of these phenomena demands a high computational cost. In this work we employ GPU for the development of solvers for...
The method Finite Difference Time Domain (FDTD) is widely used in electromagnetic simulations. Since this method is a data intensive and computation intensive problem, there are a lot of initiatives to improve the scalability and the performance of the FDTD. Specifically the use of GPU to accelerate the FDTD is in focus, which has a good cost-benefit, offering a speedup of hundreds of times if compared...
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