Image Processing Using Parallel Programming - Computer Science Assignment Help

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Graphics Processing Unit (GPU) was first invented for the enhancement of video gaming and 3D graphics processing. After programmers researched and studied GPU, it was found that GPU’s functionality could be used for other computations also. GPU can be used for applications which are compute intensive and which require high degree of parallel computations. Some of the areas where it can be used are, database operations, geometric operations, financial modeling and oil and gas exploration. In database operations,a search operation can be done in parallel on all the tables. For geometric computations and financial modeling, same calculation can be done in different set of data at the same time. Oil and gas exploration uses parallelism to find the different locations where it could be present by parallely searching for it in different places [1]. Modern GPUs have over 3,000 ALUs, so a GPU can handle over 3,000 arithmetic operations at a time which help in high degree of parallelism. These GPUs also have over 65,000 threads and each thread can handle a particular part of computation. This paper next discusses image processing, CUDA framework and how CUDA is used for image rendering 

 

 


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