Flexible hardware accelerator for 2D Convolution and Census Transform

Image Processing is an emerging field: every year new applications are introduced, and these are pushing the hardware requirements. This thesis looks at the design of a hardware accelerator to accelerate several filters used in Image Processing: 2D Convolution, Census Transform, and Local Binary Patterns. At Intel, these filters are used for...

Accelerating Computational Electromagnetic Diffraction Model on Programmable Graphics Processors

This thesis is done in the framework of wafer metrology to accelerate an electromagnetic diffraction model (EDM), which is used to measure the profile on a wafer, on programmable graphics processors (GPU). The main focus of this thesis is to investigate the suitability of EDM to GPU architectures. This study contributes with statistical data and...