AForge is a popular .Net library for image processing and computer vision. It features a lot of image filters, noise generators, or other image-related algorithms. Since it’s written in C#, and given the very parallel nature of most of image processing algorithms, we tried to hybridize some of them. AForge code make heavy use of […]
Tags: CUDA, Image Processing, Intrinsics
We describe here the implementation of Mandelbrot fractal image generation using Hybridizer. The language of choice is C#, and implementation is done using 32-bits precision arithmetic. Mandelbrot set is the set of values c for which the sequence: remains bounded in the complex plane. It happens an equivalent definition is: That means that while calculating […]
Motivation Until 2000, the performance improvement of processor was mainly obtained with clock frequency improvement together with instructions per clock with the Pentium 4 being the last of its kind in the frequency race. However since then, Moore’s law has applied and translated into vector units and multi-cores. Processor Performance The following table illustrates a […]
IBM announced at HotChip 2013 conference the latest generation of Power processor, the IBM Power 8. Altimesh plans to implement support for that Power processor for the Hybridizer. We present here early results of our first experiments on a sample of Power 8 processor. Results have been obtained in the technology center of Montpellier, with […]