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BugelNiels/README.md

Hello internet 👋

I am a computing scientist, book enjoyer, and experienced Google Search user. As far as CS is concerned, my interests lie primarily in the fields of High-Performance Computing, Computer Graphics, and Image Processing. Mainly I work with C++, but I have done projects in numerous languages and with various frameworks. Just like I enjoy a clean and organised house (up to a reasonable limit of course), I also like clean and organised software. As a result, I always try and spend some effort refactoring and cleaning up projects that I actively work on. Clean code bases are way more maintainable, easier to understand and generally a lot more fun to work with.

Sadly I don't have too much time these days to work on projects due to my job, but if you are curious feel free to check out my projects. The most interesting one is probably NITRO. Nitro is a visual graph-based node editor for building image processing routines and was built to be easily extendable. Once I have a bit more time on my hands, I hope to extend and improve this project further. Preview

In my spare time, I enjoy playing around with Blender, which I first picked up around 10 years ago. Occasionally, I post some renders on my Artstation, so if you are curious, check it out below.

| Personal Website | LinkedIn | Artstation |

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  1. nitro nitro Public

    Powerful and flexible node editor that facilitates building complex combinations of various image processing techniques.

    C++ 53 7

  2. distributed-gpu-convolution distributed-gpu-convolution Public

    This repository contains a framework with a GPU implementation of generalized convolution operators. The framework is designed for large image data sets and can run in a distributed system.

    Cuda 4

  3. cepv cepv Public

    Web application that visualizes collision events based on the CERN Open Data sets.

    TypeScript 1

  4. ccheckmate ccheckmate Public

    An easy-to-use unit testing framework for C applications.

    C 3

  5. parallel-gpu-catmull-clark-subdivision parallel-gpu-catmull-clark-subdivision Public

    This repository contains a fast GPU implementation of the Catmull-Clark Subdivision scheme in CUDA. It makes use of a pointerless half-edge data structure to construct a number of simple, easily pa…

    Cuda 3

  6. parallel-cpu-catmull-clark-subdivision parallel-cpu-catmull-clark-subdivision Public

    This repository contains a fast CPU implementation of the Catmull-Clark Subdivision scheme. It makes use of a pointerless half-edge data structure to construct a number of simple, easily paralleliz…

    C++ 3 1