The Book addresses the use of Graphic Processor Units (GPUs) to optimize an existing classification algorithm based on Support Vector Machines, through parallelization with the NVIDIA CUDA framework. This algorithm is used for automatic topographic segmentation of gastrointestinal tract videos, obtained through capsule endoscopy used in real Hospital environments. After optimization of the sequential version of the algorithm, two approaches were compared: 1) the simple use of CUDA libraries, and 2) the development of full code, both Host and device. Both approaches granted substantial...