SIMD

The NAStJA framework provides an easy way to enable massively parallel simulations for a wide range of multi-physics applications based on stencil algorithms.

This is a generic c++ library with all kinds of functionality for use in my projects.

Embeddable physically based renderer

A Swift µ-Library of math extensions for SCNVector3, SCNQuaternion, SCNMatrix4

An attempt to implement SSE/AVX instructions in Python, mainly for fun.

A NAStJA Application

Provide a good solution to the CFM 2020 Challenge the hard way (hand writing the optimizer, directly use the Linear Algebra routines, use the most out of the multicore hardware).

Image filters, implemented in Assembly with SSE instructions for multiple data processing.

Academic Project.

The simd optimized escape code

C++ Raytracer Implementation