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Acceleration of Image Processing and Computer Vision Algorithms
Abstract
Image processing combined with computer vision is creating a vast breakthrough in many research, industry-related, and social applications. The growth of big data has led to the large quantity of high-resolution images that can be used in complex applications and processing. There is a need for rapid image processing methods to find accurate and faster results for the time-crucial applications. In such cases, there is a need to accelerate the algorithms and models using the HPC systems. The acceleration of these algorithms can be obtained using hardware accelerators like GPU, TPU, FPGA, etc. The GPU and TPU are mainly used for the parallel implementation of the algorithms and processing them parallelly. The acceleration method and hardware selection are challenging since numerous accelerators are available, requiring deep knowledge and understanding of the algorithms. This chapter explains the deployment of HPC accelerators for CNN and how acceleration is achieved. The leading cloud platforms used in computer vision for acceleration are also listed.
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