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This paper proposes the parallel implementation of finite volume method based on weighted average flux (WAF) to solve the shallow water equations on a graphic processing unit. We develop two parallel programs which are 1-dimension thread block and 2-dimension thread block, respectively. We compare the performance of these two versions with a sequential program. The numerical experiment is performed...
Edge detection is one of the most important paradigm of Image processing. Images contain millions of pixel and each pixel information is independent of its neighbouring pixel. Hence this paper puts to test the capability of Graphics Processing Unit (GPU) to compute in parallel against the millions of pixel calculations involved in image processing. Each pixel operation is independent from other thus...
Parallel programming has been extensively applied to different fields, such as medicine, security, and image processing. This paper focuses on parallelizing the Laplacian filter, an edge detection algorithm, using CUDA. We have conducted a performance analysis to benchmark the sequential Laplacian version against the CUDA parallel approach. Results show that the parallelization of Laplacian filter...
In view of the limitations of classic differential operators and the defects of traditional Gabor wavelet transform algorithm for edge detection, we present a parallel Gabor wavelet transform method for edge detection based on CUDA in this paper. Firstly we introduce the wavelet transform algorithm, and then discusse the feasibility that parallel detect edge in wavelet transform and relize it,the...
CUDA (compute unified device architecture) is a novel technology of general-purpose computing on the GPU, which makes users develop general GPU (graphics processing unit) programs easily. This paper analyzes the distinct features of CUDA GPU, summarizes the general program mode of CUDA. Furthermore, we implement several classical image processing algorithms by CUDA, such as histogram equalization,...
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