Filtering is useful for noise reduction and edge detections in volumes. With the release of general purpose parallel computing interfaces, opportunities for increases in performance arises. In this paper I will present four volume filters, implemented using OpenCL. The filters consists of: a box filter, a Gaussian filter, a median filter and a central difference filter. The two first are implem...

Fast Fourier Transform is one of the most important numerical algorithms in history. It has wide range of applications: audio signal processing, medical imaging, image processing, pattern recognition, computational chemistry, error correcting codes and spectral methods for PDE’s. The goal of this project is to implement an OpenCL based FFT algorithm that has comparable performance with existing...

Modern systems generates huge amounts of information right from areas like finance, telematics, healthcare, IOT devices to name a few, the modern day computing frameworks like Mapreduce needs an ever increasing amount of computing power to sort, arrange and generate insights from the data. This project is an attempt to harness the power of heterogeneous computing, more specifically take benefit...