Optimize Krita Soft, Gaussian and Stamp brushes mask generation to use AVX with Vc Library

Krita digital painting app relies on quick painting response to give a natural experience. A painted line is composed of thousands of images placed one after the other. This image mask creation hast to be performed super fast as it is done thousands of times each second. If the process of applying the images on canvas is not fast enough the painting process gets compromised and the enjoyment of painting is reduced.

Optimizing the mask creation can be done using the AVX instructions sets to apply transformation in vectors of data in one step. In this case the data is the image component coordinates composing the mask. Programming AVX can be done using Vc optimization library, which manages low level optimization adaptable to the user processor features. However the data must be prepared so it optimizes effectively. Optimization has already been done on the Default brush mask engine allowing it to be as much as 5 times faster than the current Gaussian mask engine.

The project aims to improve painting performance by implementing AVX optimization code for Circular Gauss, Circular Soft, Rectangular Gaussian, Rectangular Soft Rectangular and Stamp mask.