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Graphics Processing Units (GPU) have significantly more applications than just rendering images. They are also used in general-purpose computing to solve problems that can benefit from massive parallel processing. However, there are tasks that either hardly suit GPU or fit GPU only partially. The latter class is the focus of this paper. We elaborate on hybrid CPU/GPU computation and build optimization...
This work studies the general method of modern graphics processing unit (GPU) calculating and uses compute unified device architecture (CUDA) to present an implementation of facial expression recognition. We calculate the Gromov-Hausdorff distance between faces, and this measures how far each pair of faces are from being isometric. Finally, The results showed the feasibility of this type of device...
Counting sort is a simple, stable and efficient sort algorithm with linear running time, which is a fundamental building block for many applications. This paper depicts the design issues of a data parallel implementation of the count sort algorithm on a commodity multiprocessor GPU using the Compute Unified Device Architecture (CUDA) platform, both from NVIDIA Corporation. The full parallel version...
In this study, the implementation of an image processing technique on compute unified device architecture (CUDA) is discussed. CUDA is a new hardware and software architecture developed by NVIDIA Corporation for the general- purpose computation on graphics processing units. CUDA features an on-chip shared memory with very fast general read and write access, which enables threads in a block to share...
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